24 Genai Technologies Jobs

Job Description Summary We are seeking a dynamic and experienced Senior Manager Install Base (IB) Support to lead the support and lifecycle management of key deployed products. This role is critical to ensuring platform stability, customer satisfaction, and proactive lifecycle planning across four strategic products: Elastic Edge, Data Highway, Mural Clinical Viewer. The IB Manager will lead a cross-functional team of experts and will be responsible for driving operational excellence, cyber compliance, and upgrades, upgrade strategies across the install base. He/she will also lead and implement proactive maintenance and auto healing. Designs, programs, documents, tests, and fixes bugs involved in creating and maintaining applications and frameworks involved in a software release lifecycle resulting in a digital product. Impacts approaches, projects and programs in the functional area or affected business organization and ways of working. Impacts quality, efficiency and effectiveness of own team. Has significant input into priorities. Guided by professional practices and policies that are shaped by the role. The role has moderate autonomy, requiring high levels of operational judgment. Job Description At GE Healthcare, youll be part of a mission-driven team thats transforming healthcare through innovation and technology. This role offers a unique opportunity to lead critical install base operations, drive AI-powered support innovation, and make a tangible impact on patient care and system reliability. Key Responsibilities Customer Support Leadership Lead and manage customer support operations for the install base, ensuring timely resolution of issues and high customer satisfaction. Patch and Upgrade Management Oversee planning and execution of software patches, upgrades, and hotfixes across all supported products. Cybersecurity and EOL Planning Proactively manage cybersecurity upgrades and end-of-life (EOL) transitions to ensure compliance and minimize risk. Platform Stability and Responsiveness Monitor and enhance system performance, availability, and responsiveness across the install base. GenAI-Driven Support Innovation Leverage Generative AI Technologies To Enhance Product Support Through Proactive issue detection and resolution Predictive maintenance strategies Auto-healing capabilities and intelligent alerting Knowledge base generation and intelligent ticket triaging Cross-Functional Collaboration Work closely with product engineering, quality, regulatory, and customer success teams to align support strategies with business goals. Team Leadership and Development Build and mentor a high-performing team, fostering a culture of accountability, continuous improvement, and customer focus. Qualifications Bachelors or Masters degree in Engineering, Computer Science, or related field. 12+ years of experience in software engineering, product support, or technical operations. Proven leadership experience managing cross-functional teams and customer-facing operations. Demonstrated experience managing and supporting healthcare digital products, with a strong understanding of clinical workflows, compliance, and customer expectations. Strong understanding of software lifecycle management, cybersecurity, and regulatory compliance in healthcare or similar domains. Experience or interest in applying AI/ML or GenAI technologies to operational workflows. Excellent communication, problem-solving, and stakeholder management skills. Roles And Responsibilities Design, build, deliver and maintain software applications & services. Working in the areas of machine, cloud, platform and/or application. Responsible for full software lifecycle including activities such as requirement analysis, documentation/procedures and implementation. Typically a 1st line manager of professionals or a 2nd line manager of a professional department. Developing specialized knowledge in their discipline. Serves as best practice/quality resource. Has awareness of latest technical developments in own area. Contributes towards strategy and policy development, and ensure delivery within area of responsibility. Has in-depth knowledge of best practices and how own area integrates with others; has working knowledge of competition and the factors that differentiate them in the market Uses judgment to make decisions or solve moderately complex tasks or problems in areas of operational/product management, manufacturing, technology or engineering. Takes new perspective on existing solutions. Uses technical experience and expertise for data analysis to support recommendations. Uses multiple internal and limited external sources outside of own function to arrive at decisions. Acts as a resource for colleagues with less experience. May lead small projects with moderate risks and resource requirements. Explains difficult or sensitive information; works to build consensus. Developing persuasion skills required to influence others on topics within field. Additional Information Relocation Assistance Provided: Yes Show more Show less

We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always searching for creative ways to grow and learn, aiming to make a real impact now and in the future. If you resonate with this mindset, you would be a valuable addition to our vibrant international team. As a Product Manager, you will play a crucial role in the following areas: - Defining and executing a clear product vision and strategy for Gridscale X MDM, which includes leveraging AI/ML and GenAI technologies. - Collaborating with business leaders to transform market needs into innovative solutions. - Developing and enhancing product strategies based on customer insights, market trends, and competitive positioning. - Working closely with diverse teams, such as data scientists, application developers, and enterprise architects, to foster product innovation. - Creating detailed product specifications, encompassing use cases, workflows, data sources, analytics, and integration requirements. - Serving as the Product Owner within agile teams, prioritizing backlogs and steering execution. - Establishing, monitoring, and evaluating product success metrics based on customer value and business impact. - Leading go-to-market strategies in collaboration with Sales, Marketing, and Professional Services departments. - Cultivating a robust customer community, advocating for feedback to improve the Gridscale X MDM product suite. To excel in this role, we are seeking a professional with: - 8 to 10 years of product management experience in enterprise SaaS or software platforms. - A Bachelor's degree in computer science, Engineering, Data Science, or a related field. - Background in utility markets and data-driven business solutions. - Preferred industry experience in product management within Meter Data Management, Advanced Metering Infrastructure, Customer Information Systems, Customer Relationship Management, and exposure to customer-facing roles. - Proficiency in enterprise systems with UI front end and backend architecture. - Strong understanding of AI/ML, Generative AI, and data analytics within enterprise applications. - Exceptional skills in presentation, communication, collaboration, and partner management. - Demonstrated ability to translate business strategies into actionable product roadmaps. - Hands-on experience with agile methodologies and software development lifecycles. - Strong analytical capabilities to evaluate market opportunities and build compelling business cases. Join us in creating a better future with Siemens! This position is based in Noida, offering you the opportunity to collaborate with teams that influence entire cities, countries, and the future landscape. Siemens is a global organization comprising over 312,000 individuals shaping the future day by day across 200 countries. We are committed to diversity and encourage applications that mirror the varied communities we operate in. All hiring decisions at Siemens are based on qualifications, merit, and business requirements. Bring your curiosity and creativity to help us shape tomorrow. Explore more about Siemens careers at www.siemens.com/careers and discover the digital world of Siemens at www.siemens.com/careers/digitalminds.,

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,

Organization: At CommBank, we never lose sight of the role we play in other peoples financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Principal Software Engineer - Gen AI Location: Manyata Tech Park, Bangalore Business & Team: CTO- Cloud Modernisation Impact &contribution: As an experienced Principal Engineer who act as thought & technology leader, responsible for providing technical strategy and guidance, overseeing engineering projects of all kinds includes AWS, Cloud Adoption, end to end application design and understanding at enterprise level and good in domain understanding with proven expertise in Gen AI platform engineering and a passion for providing AI-driven solutions, youre ahead of trends and work at the forefront of AI. Roles & responsibilities: Evangelist, leader and champion of strategic practice development across the Gen AI domain. Leader amongst engineers with respected technical views. Lead and direct multiple teams on complex troubleshooting activity. Play a mentoring role in providing design and technical assistance to other members of the team. Utilises an outstanding competency in core business and technical strategies across platforms to deliver best business outcomes. Build Gen AI capability among engineers including but not limited to Knowledge Engineering/prompt engineering/platform engineering. Knowledge Engineering: identifying and gathering relevant domain specific knowledge from various sources and structuring it in a structured way for LLM model to understand and utilize. Platform engineering: Collaborate with other teams to integrate AI solutions into existing workflows and systems to get the platform running and available. They configure and manage the underlying infrastructure that supports the platform, ensuring scalability, reliability, and high availability. Staying up to date on advancements: The field of generative AI is constantly evolving, so staying informed about the latest research and developments, latest releases on different models and their performances are crucial. Ability to develop, suggest best practices of designing infrastructures that support fine-tuning of models to improve performance and efficiency, and troubleshoot any issues that arise during development or deployment. Analyse systems and applications and provide recommendations for design, enhancement and development, and play an active part in their execution. Have a great understanding of software delivery practices and lifecycles in Agile methodologies Essential skills: 16+ years of experience in relevant filed. Strong programming skills in languages (Python/ Java/ C#/ .NET Core) Hands-on experience with cloud platforms (Azure or AWS) and deploying AI models in cloud-native environments. Proven experience in building applications using LLMs and GenAI technologies. Experience with DevOps practices and tools for continuous integration and deployment. Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques. Proficiency in using LLM frameworks and toolkits in one or more such as Langchain, Crew AI, MCP, Cline, Aider, and similar technologies. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and collaboration skills. Education Qualification: Bachelors degree or Masters degree in Engineering in Computer Science/Information Technology. If you&aposre already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you&aposll need to apply through Sidekick to submit a valid application. Were keen to support you with the next step in your career. We&aposre aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 16/08/2025 Show more Show less

Ciklum is seeking an Expert Java Developer to join the team full-time in India. As a custom product engineering company supporting multinational organizations and scaling startups, we aim to tackle complex business challenges with a global team of over 4,000 highly skilled developers, consultants, analysts, and product owners. Our goal is to engineer technology that reshapes industries and enhances people's lives. Join us as an Expert Java Developer and become part of a cross-functional development team dedicated to crafting the experiences of tomorrow. Embrace new technologies and approaches, especially those related to GenAI advancements, as projects evolve. Stay updated on the latest GenAI developments and leverage cutting-edge solutions for migration projects. As a software developer on small Agile teams, you will deliver software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Follow migration playbooks and innovate when necessary to overcome project-specific challenges. Collaborate in sprint grooming, planning, and showcases, contributing ideas and suggestions. Requirements for this role include a minimum of 10 years of software development experience, strong proficiency in Java, and expertise in building applications that interact with relational databases using SQL and PL/SQL. Familiarity with Enterprise Java application architectures and Agile methodologies is essential. Desirable skills include knowledge of microservices architectures, Domain-Driven Design approaches, Python, JavaScript/Node.js, and ORMs like Hibernate or JPA. At Ciklum, we prioritize your well-being by offering comprehensive company-paid medical insurance and support for your mental and physical health. Enhance your skills with tailored education paths, internal events, language courses, and certifications. Collaborate with skilled professionals globally and locally in a growth environment that encourages sharing experiences and expertise. Enjoy a hybrid work mode in Chennai or Pune with opportunities for professional growth and career development. Work on large-scale projects that have a global impact and be part of a welcoming environment with regular team-building events. Join us in shaping the experiences of tomorrow and creating innovative solutions in a dynamic and supportive company culture. India is a key growth market for Ciklum, and we invite you to be part of this exciting journey. Submit your application to join our team and embark on a rewarding career with us. Let's innovate and grow together at Ciklum - where experiences of tomorrow are engineered collaboratively. Apply now and be part of our story!,

AI Project Manager is a senior project management role focused on leading the development and implementation of AI/GenAI projects. The ideal candidate will have a strong understanding of AI/GenAI technologies, experience managing complex projects in a technical environment, and the ability to lead and motivate cross-functional teams. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Define project scope, objectives, and deliverables in collaboration with stakeholders. Develop detailed project plans, including timelines, milestones, and resource allocation. Monitor project progress and make adjustments as necessary to ensure successful completion. Act as the primary point of contact for project stakeholders. Communicate project status, risks, and issues to stakeholders in a timely manner. Manage stakeholder expectations and ensure alignment with project objectives. Prepare and present project reports to stakeholders and senior management. Responsible for defining project scope, managing timelines and budgets, ensuring quality deliverables, and communicating effectively with stakeholders. KEY SKILLS AND EXPERIENCE You Have: Bachelor's or Master's degree in Computer Science with overall experience of 10-15 years and working as a Project Manager, preferably in AI/ML or technology platforms. Strong understanding of GenAI technologies and development processes. Experience with Agile methodologies and product management tools. Leadership experience in a technical project management role. Excellent problem-solving, organizational, and analytical skills. It would be nice if you also had: Experience in managing AI/ML platforms or tools. Familiarity with software development and data science workflows. Ability to translate complex technical concepts into clear, actionable plans.

You have a great opportunity to join our team as an Appian Developer in Pune, Chennai, or Bangalore. With 4+ years of experience in Appian, you will be responsible for designing and developing technical solutions on the Appian platform. Your role will involve working with Process Models, Record Types, Interfaces, and Integrations, requiring extensive knowledge in these areas. Additionally, you should have a good understanding of SQL and Stored Procedures. Ideally, you will have a degree in engineering, computer science, or a quantitative discipline such as statistics, physics, or mathematics. While not mandatory, experience in Banking/Finance or Internal Audit would be beneficial. Moreover, familiarity with Infrastructure as Code tools like CHEF and AWS CloudFormation, as well as Machine Learning concepts including deploying models and working with embeddings, will be advantageous. In this role, proficiency in Cloud Computing is essential, with experience in cloud platforms like AWS, Azure, and GCP being highly valued. Knowledge of GenAI technologies and RDBMS database platforms such as Microsoft SQL Server and MySQL will also be beneficial for your success in this position.,

Oracle Cloud Infrastructure (OCI) is leading cloud innovation, combining startup agility with the reliability of a top enterprise software provider. The AI Science team focuses on cutting-edge machine learning solutions that address real-world challenges at scale. We are seeking an experienced Sr. Applied Scientist (IC3) with expertise in Generative AI and Computer Vision to develop highly complex and accurate data science models. As a Senior Applied Scientist, you will work on secure, scalable, and innovative AI solutions utilizing advanced techniques in computer vision and GenAI technologies. Key Responsibilities: - Develop advanced AI models and algorithms, particularly in large language model, large multimodal, computer vision, and foundational models. - Design, implement, and test critical features of AI services ensuring correctness, high availability, scalability, and cost-effectiveness. - Advocate best practices for testing, benchmarking, and model validation to ensure reliability and performance. - Analyze ML models, optimize for accuracy and latency, and handle large-scale training and production deployment. - Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. - Implement machine learning algorithms from scratch to production, work with complex data sets, and proactively address technical issues. - Collaborate with product managers, engineering leads, and data teams to define requirements and ensure data quality. - Leverage Oracle Cloud technology to develop best-in-class computer vision solutions for Oracle's business domain at scale. Preferred Qualifications: - Ph.D. or Master's degree in Computer Science, Machine Learning, Computer Vision, or related field. - Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. - Strong foundation in deep learning architectures like CNNs, transformers, diffusion models, and multimodal models. - Proficiency in high-level languages such as Python, Java, or C++, and experience in ML algorithm design and production deployment. - Familiarity with working in cloud environments like Oracle Cloud (OCI), AWS, GCP, or Azure, and Agile development processes. - Strong problem-solving skills, a drive to learn new technologies, and an ability to thrive in a fast-paced work environment. This role offers an opportunity to contribute to cutting-edge AI solutions, collaborate with cross-functional teams, and drive innovation in the field of computer vision.,

As an AI Engineer specializing in GenAI & ML Solutions at a leading global credit rating and financial analytics organization, you will be at the forefront of AI innovation in finance technology with exposure to cutting-edge GenAI techniques. Your primary responsibility will be to develop and deploy advanced AI solutions using the latest Generative AI techniques, including Retrieval-Augmented Generation (RAG) pipelines and designing Agentic AI systems to automate complex decision-making workflows. You will also be tasked with fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation and building scalable AI workflows while adhering to robust engineering and code quality standards. In this role, you will lead the end-to-end AI solution development lifecycle, from prototyping and experimentation to deployment on cloud platforms such as AWS, Azure, or GCP. Collaboration with cross-functional global teams, including financial analysts, technology architects, and client stakeholders, will be essential to translate business challenges into AI-driven solutions. Additionally, you will continuously evaluate emerging AI technologies and research to ensure that the organization's AI toolkit remains state-of-the-art. To be successful in this position, you should possess 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and proven experience deploying AI/ML solutions on cloud platforms are required. Exposure to NLP, knowledge graphs, ML ops, or similar related areas would be a significant advantage. Effective communication skills, the ability to collaborate across global teams, and handle client interactions are also important traits for this role. A Bachelors or Masters degree from premier Indian institutes in Computer Science, any Engineering discipline, Mathematics, or related quantitative fields is preferred. Join us in redefining how financial intelligence is powered and delivered through innovative AI solutions that have a real-world impact on business outcomes. Grow your career in an environment that fosters best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms while working in a hybrid setup in Pune or Mumbai.,

As a Senior AI Engineer at our leading global credit rating and financial analytics organization, you will play a key role in leveraging cutting-edge AI and analytics to redefine how financial intelligence is powered and delivered. In this role, you will have the opportunity to work on state-of-the-art solutions and drive our AI capabilities into the future. You will be at the forefront of AI innovation in finance technology, with exposure to next-gen GenAI techniques. Collaborating with dynamic global teams spanning finance, technology, and client solutions, you will work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Your responsibilities will include developing and deploying advanced AI solutions using the latest Generative AI techniques, such as Retrieval-Augmented Generation (RAG) pipelines, designing and building Agentic AI systems, and fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation. In addition, you will build scalable AI workflows, lead the end-to-end AI solution development lifecycle, and collaborate closely with cross-functional global teams to translate business challenges into AI-driven solutions. You will continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. To be successful in this role, you should have 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and experience deploying AI/ML solutions on cloud platforms are essential. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus, along with decent communication skills and a self-driven, proactive mindset. You should hold a Bachelors or Masters degree from premier Indian institutes in Computer Science, Any Engineering discipline, Mathematics, or related quantitative fields. Benefits of this role include a hybrid work model, continuous learning budget, and opportunities to work on industry-leading AI research. If you are eager to push boundaries of AI in financial analytics and thrive in a global, fast-paced environment, we encourage you to apply now and step into the Future of Financial technology with AI.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

As part of our team at Pega, you will be working alongside a group of dedicated engineers who are driven by motivation and a strong sense of ownership. Our focus is on building high-quality software to ensure success for our customers. We believe in excellence and utilize agile methodologies to achieve our goals. Collaboration and support are key components of our work environment as we strive to innovate and make our products stand out using the latest technologies. In your role at Pega, you will lead engineering teams responsible for developing core features of the Pega Launchpad platform. This platform is cloud-native, scalable, and fault-tolerant, with a focus on integrating GenAI capabilities and enabling the Vibe coding paradigm. Your responsibilities will include setting clear goals for your team, providing continuous feedback, and ensuring that best engineering practices are followed to build top-notch software. Your expertise in database and data integration technologies, along with your experience in software development, will be crucial in translating requirements into application features. You will work closely with product management to define technical and architectural solutions, ensuring the quality and timely delivery of features. With over 9 years of experience in software development, you have a proven track record of delivering high-quality solutions that meet client expectations. Your background in enterprise-level, cloud-native software, coupled with your experience in managing high-performing teams, makes you an ideal candidate for this role. Your hands-on experience with cloud-native software and GenAI technologies will be instrumental in driving innovation and productivity within the team. At Pega, you will have the opportunity to work in a dynamic and inclusive environment that fosters continuous learning and development. Join us in our mission to deliver cutting-edge solutions and make a meaningful impact in the world of software development. Job ID: 22267,

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere - on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day's work! MongoDB PS exists to support the development of our customers" vision, accelerate customers" time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. As the lead technical software developer in a small Agile team, you will be delivering solutions onsite for customers focused on migrating one of the customer's legacy relational database-based Java applications to a more modern cloud-based architecture running on MongoDB. You will be leveraging the latest GenAI tools and approaches to accelerate this process. During each project, you will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. We are looking to speak to candidates who are based in Mumbai for our hybrid working model. Position Expectations: - Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. - Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities. - Participate as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. - Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritize the best ideas. - Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions, and guidance to the rest of the team. - Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies. - Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design, and solution to get from source state to target state on each project. - Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change. - Face-off to lead technical personnel on the customer side to resolve issues and identify solutions. Requirements: - 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead. - Strong proficiency in Java. - Some experience and knowledge of Python or JavaScript/Node.js. - Strong experience in building applications that interact with relational databases using SQL. - Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures. - History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines, and using Git version control. - Proven experience in leading software/application development projects. - Able to provide technical direction and authority to the whole delivery team (to developers, the project manager, and other customer and executive stakeholders). - Strong written, verbal, and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customer's organization. - Strong strategic thinking capabilities to understand and align technical work with business goals. - Ability to travel and work on customer sites for a number of continuous weeks. Nice-to-have skills: - Working knowledge of microservices architectures and Domain-Driven Design approaches. - Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): - Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs. - Practical experience of using MongoDB. Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees" wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

You will play an active role in all aspects of defining the experience of a new application, including identifying user needs, prototyping, iterative end-user validation, and testing/supporting produced code. Your responsibilities will involve interpreting business requirements into effective UI and server-side specifications, building prototypes to explore new scenarios and optimizations of existing solutions, and working collaboratively with Product managers and UX/Design team members from diverse technical, creative, and business backgrounds to develop complex solutions. Additionally, you will review designs, code, and approve solution approaches, provide leadership to junior team members, and work alone or with a small group of people on projects in a self-directed and mature manner. Maintaining a very high-quality bar in projects from the start and championing quality improvements by implementing better technical practices will be crucial. You are expected to multi-task and provide efficient input on Development activities while assisting in developing, organizing, and maintaining technical practices along with the manager and actively engaging in rolling out improvements. Collaboration with teams/stakeholders across multiple geographies will also be part of your responsibilities. To qualify for this role, you should have 3-5 years of Frontend Development experience and experience in the development of Cloud-enabled applications and Responsive Web Applications with a focus on great User Experience. Excellent verbal and written communication skills are essential, along with a deep understanding of Web UI, HTML5, CSS, JavaScript, and hands-on experience with React, Redux, Webpack, Saga, Material UI, NodeJS, and other related technologies. Strong problem-solving and analytical skills with exposure to real customer problems are required, as well as a good understanding of Design Patterns, TDD, Cloud First principles, OOPs concepts, RESTful services, and Data Structures, especially XML and JSON operations. Exposure to AI/ML/GenAI technologies and their use in designing cutting-edge solutions is a plus. You should have a deep understanding of the E2E request/response cycle between client and server, knowledge of CSS Frameworks like Bootstrap, LESS, or SASS, and hands-on experience with Unit Testing frameworks like Cypress, Jest, Mocha, chai, etc. Experience with version control systems like GIT and build tools like Gradle and Jenkins, as well as good knowledge of Workers, Socket Programming, ECMA2015, ECMA5, cross-browser scalability & compatibility, troubleshooting, debugging, caching, fixing memory leaks, performance tuning, and open-source tech will be beneficial for this role.,

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. They enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. MongoDB's industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere - on-premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. The role in MongoDB PS solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day's work! MongoDB PS exists to support the development of customers" vision, accelerate customers" time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Consulting solutions ensure that organizations get the best out of MongoDB. As a software developer in a small Agile team, you will be delivering solutions onsite for customers focused on migrating legacy relational-based Java applications to a modern cloud-based architecture running on MongoDB. You will be leveraging the latest GenAI tools and approaches to accelerate this process. During each project, you will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. Position Expectations: - Be a part of and mentor agile teams as a senior developer, focusing on end-to-end migration of enterprise-grade Java applications using SQL-based databases to modern, cloud-based MongoDB architectures - Pioneer the use of GenAI technologies to overcome complex migration challenges, bringing creativity to adopt the latest tools and approaches for each unique project - Analyze existing SQL-based architectures, including extensive work with stored procedures, system design, and enterprise integration, and design optimal solutions to modernize and streamline applications - Collaborate with stakeholders across technical and business units, serving as a strategic advisor for enterprise clients - Guide and mentor junior team members, providing direction and fostering a collaborative team environment - Showcase advanced debugging skills, identifying and resolving technical issues promptly, even in high-stakes environments Technical Skills And Requirements: - 7-10 years of software development experience, with strong proficiency in Java, including multithreading, AOP, and enterprise-grade frameworks such as Spring Boot and/or Quarkus - Previous direct exposure to enterprise-grade systems is a must - Expertise in relational databases, particularly in SQL, stored procedures, and ORM tools like JPA and Hibernate - Extensive experience with system design, microservices architectures, and Domain-Driven Design approaches - Demonstrated history of delivering high-cadence applications through Agile methodologies, TDD, CI/CD pipelines, and Git version control - Excellent skills in stakeholder management, with proven success leading teams and collaborating cross-functionally - Familiarity with Python and JavaScript (Node.js) is a plus Bonus Skills: - Prior experience with MongoDB and cloud platforms such as AWS, Azure, or GCP - Knowledge of containerization and orchestration tools like Docker and Kubernetes - Hands-on experience with GenAI technologies (e.g., OpenAI API, GPT models) and the ability to innovate new use cases within migration projects Key Competencies: - Strong team leadership and stakeholder engagement skills, with the ability to articulate technical solutions to non-technical audiences - Exceptional problem-solving and debugging skills, applying creativity to complex challenges and GenAI innovations - Adaptability and openness to evolving project needs, aligning with the latest industry trends and best practices Additional Considerations: Due to the highly regulated nature of the industry, successful candidates may undergo enhanced background checks and security screenings. MongoDB is committed to providing a supportive, enriching work environment with a focus on employee wellbeing and growth. Why MongoDB Join MongoDB in transforming the way enterprises manage and scale data. MongoDB provides a dynamic workplace culture with employee affinity groups, fertility assistance, and generous parental leave policies, ensuring an inclusive experience. To drive the personal growth and business impact of employees, MongoDB is committed to developing a supportive and enriching culture for everyone. From employee affinity groups to fertility assistance and a generous parental leave policy, MongoDB values employees" wellbeing and wants to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB and help make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within the application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like Python, R, or Scala, proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn, experience with data preprocessing, feature engineering, and data wrangling techniques, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock, familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Are you excited about contributing to the development of cutting-edge AI systems that are set to revolutionize cloud infrastructure operations At Oracle Cloud Infrastructure (OCI), we are dedicated to reimagining operations for the enterprise cloud, and we are currently seeking ML Engineers to spearhead this transformation. OCI stands out as a hyperscale cloud platform where operations play a crucial role in ensuring customer success. To ensure the scalability and competitiveness of OCI, there is a pressing need to automate incident detection, diagnosis, and resolution by pushing the boundaries of AI and GenAI in cloud operations. Join our team to collaborate on building intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and provide customers with a world-class experience. If you are enthusiastic about tackling complex technical challenges and influencing the evolution of autonomous cloud technology, this opportunity is perfect for you. Responsibilities will include leading the development of AI agents tailored for cloud operations, designing and implementing tools and frameworks to support AI agent development, assessing agent performance across operational scenarios, innovating meta prompting techniques, integrating advanced LLM technologies into OCI systems, collaborating across teams, engaging with customers to validate solutions, and providing technical leadership and mentorship. The ideal candidate should have a minimum of 5 years of overall experience with at least 2 years in machine learning engineering, expertise in large language models, transformers, and GenAI technologies, experience in prompt engineering, the ability to optimize AI agent performance in real-world environments, proficiency in Python and ML frameworks like PyTorch or TensorFlow, knowledge of MLOps practices, problem-solving skills, strong communication abilities, and a degree in Computer Science, Machine Learning, or a related field. Preferred qualifications include experience in building AI assistants for enterprise applications, familiarity with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks, knowledge of LLM fine-tuning, RAG, or vector database integration, a background in cloud operations or infrastructure monitoring, exposure to Oracle Cloud Infrastructure or other major cloud platforms, and contributions to open-source ML projects or publications in ML, NLP, or AI agent systems. By joining our team, you will have the opportunity to work on designing AI Agents and the infrastructure supporting them, shape the future of AI-powered cloud operations at Oracle, engage with cutting-edge AI technologies to solve real-world challenges, collaborate with a talented team, and enjoy competitive compensation, benefits, and career growth opportunities.,

Are you excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run At Oracle Cloud Infrastructure (OCI), we're reimagining operations for the enterprise cloud, and we're looking for ML Engineers to drive this transformation. OCI is a hyperscale cloud platform where operations are core to customer success. For OCI to scale and remain competitive, we need to automate incident detection, diagnosis, and resolutionpushing the limits of AI and GenAI in cloud operations. Join us to build intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and deliver a world-class customer experience. If you're passionate about solving deep technical challenges and shaping the next generation of autonomous cloud, this is your moment. Lead AI Agent Development: Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs. Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring. Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across diverse operational scenarios. Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts. Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques. Partner with product, UX, and engineering teams to align technical solutions with business priorities and user experience. Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments. Mentor engineers, establish best practices in AI agent engineering, and contribute to the technical vision and roadmaps. Required Qualifications: - Overall 5+ with 2+ years of experience in machine learning engineering, with hands-on experience in building AI agents and production-grade ML systems. - Proven expertise in large language models (LLMs), transformers, and GenAI technologies. - Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications. - Demonstrated ability to evaluate and optimize AI agent performance in real-world, mission-critical environments. - Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow. - Deep understanding of MLOps practices, including model deployment, scalability, observability, and lifecycle management. - Excellent problem-solving skills with a bias for action and execution. - Ability to convince technical leaders and executives. - Strong written and verbal communication skills, including direct collaboration with enterprise customers and cross-org teams. - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Preferred Qualifications: - Experience building AI assistants or conversational agents for enterprise applications. - Experience working with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks. - Familiarity with LLM fine-tuning, RAG (Retrieval-Augmented Generation), or vector database integration. - Background in cloud operations, DevOps, or infrastructure monitoring domains. - Familiarity with Oracle Cloud Infrastructure or other major cloud platforms. - Contributions to open-source ML projects and/or Publications or patents in ML, NLP, or AI agent systems. Why Join Us - Be at the forefront of designing AI Agents and the infrastructure that powers them. - Shape the future of AI-powered cloud operations at Oracle. - Work with cutting-edge AI technologies and solve impactful real-world problems. - Collaborate with a world-class team of engineers, researchers, and product leaders. - Competitive compensation, benefits, and career growth opportunities.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are preferred for this role. Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. Champion the use of Python as the primary programming language, setting high standards for software development within the team. Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places all in a days work! MongoDB PS exists to support the development of our customers vision, accelerate customers time to value, and drive a multitude of customer adoption scenarios from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Act as the lead technical software developer in a small Agile team delivering solutions onsite for customers focused on migrating one of the customers legacy relational database based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. This role can be based out of our Gurugram office. Position Expectations Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities. Participates as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritise the best ideas. Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions and guidance to the rest of the team. Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies. Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design and solution to get from source state to target state on each project. Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change. Face-off to lead technical personnel on the customer side to resolve issues and identify solutions. Requirements 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead Strong proficiency in Java Some experience and knowledge of Python or JavaScript/Node.js Strong experience in building applications that interact with relational databases using SQL Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control Proven experience in leading software/application development projects Able to provide technical direction and authority to the whole delivery team (to developers, the project manager and other customer and executive stakeholders) Strong written, verbal and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customers organization Strong strategic thinking capabilities to understand and align technical work with business goals Ability to travel and work on customer sites for a number of continuous weeks Nice-to-have skills Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, were committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what its like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

Responsibilities: Outcome-Driven Accountability : Embrace and drive a culture of accountability for customer and business outcomes. Develop quality engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, AI-driven test automations. Technical Leadership and Advocacy : Serve as the quality advocate for products, ensuring high-quality automation coverage, appropriateness, feasibility, and alignment with business and customer goals. Design, develop, and maintain advanced automation frameworks to drive Automation first mindset using advanced techniques including BDD, AI and GenAI technologies to streamline and enhance the testing process. Engineering Craftsmanship : Maintain accountability for the integrity of test design, test automation, their ongoing maintenance and scale, as well as the quality of solutions. Stay hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks. Integrate AI and GenAI tools and techniques into existing testing processes to improve accuracy, efficiency, and coverage of automated tests. Customer-Centric Engineering : Develop lean quality engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery : Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration : Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency : Possess basic knowledge of modern quality engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques like fully automated in-sprint testing to accept the stories and work products, powered by AI/GenAI, throughout the SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate an understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise : Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into test automation. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence : Exhibit strong communication skills, capable of articulating complex technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation : Engage and collaborate with product engineering teams, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. 5+ years of experience in quality assurance and test automation including coding the test scripts, with at least 1-2 years focused on AI and GenAI technologies. Hands-on experience with automation-first techniques like BDD and test automation tools like TOSCA, Selenium, Gherkin, Functionize, Testim, AccelQ. Experience with AI/GenAI tools and frameworks (e.g., TensorFlow, PyTorch, OpenAI, Python, etc.). Understanding of machine learning algorithms and their application in test automation. Experience with cloud hyper-scalers like Azure, AWS, and GCP. Good understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

About our group: The GenAI Customer Success Team aim to foster a culture of innovation and collaboration, leveraging the latest advancements in AI research and development to drive success and efficiency across the organization, focusing on the customer aspect, providing trainings and training materials, monitoring the impact and compliance with company policies and standards. The group identifies AI needs and opportunities, providing comprehensive guidance and support throughout the AI lifecycle. About the role - you will: Instrumental in ensuring the successful adoption and utilization of our AI-driven solutions Conduct comprehensive end-user training sessions to facilitate the seamless launch of new products Manage beta testing phases to gather critical feedback on product features and issues Provide ongoing support and guidance to users post-release Develop and deliver engaging training materials and programs for end-users to ensure effective product usage Be working closely with product development teams to identify, document, and address any product issues or enhancements Act as a liaison between the end-users and the technical team, translating technical information into user-friendly language Monitor product performance and user experience post-release, offering proactive support and troubleshooting assistance Collect and analyze user feedback to inform future product developments and improvements Maintain up-to-date knowledge of AI technology trends and best practices to provide expert advice and support to our customers Provide prompt engineering and best practices on the use of the solution to achieve the best results and outcomes About you: Experienced in customer support aspects Experienced in gathering and digesting training materials to create and engaging and informative training session Experienced in knowledge transfer, focusing on the ability to explain complicated concepts according to the relevant audience Experienced in GenAI concepts and prompt engineering Motivated and eager to learn new concepts and skills Knowledge and understanding of GenAI technologies Strong teamwork, communication and interpersonal skills Strong self-learning skills and self-development Your experience includes: Experience and motivation for customer support and technical support Understanding of AI concepts and applications, with the ability to explain complex technical details in simple terms Excellent communication, presentation, and interpersonal skills, with a passion for teaching and empowering others Experience in conducting training sessions, workshops, or webinars Analytical mindset with strong problem-solving abilities and attention to detail Ability to work collaboratively in a fast-paced, ever-evolving environment Fluent in English, with proficiency in additional languages being a plus