294 Agentic Ai Jobs - Page 2

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

As a visionary Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a pivotal role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, contributing to the acceleration of our AI strategy. Your responsibilities will include shaping the company's AI vision, leading a cross-functional team of data scientists, ML engineers, and AI product innovators, and collaborating with product, engineering, and customer teams to introduce AI-infused applications to the market. Key Responsibilities: - Establish and Lead the AI Innovation Center to drive R&D in AI and ML technologies for energy-specific software use cases. - Define and execute the company's AI strategy, encompassing tooling, platforms, and applied AI models. - Oversee the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and business outcomes. - Partner closely with various teams to embed AI into product roadmaps and deliver measurable business value. - Guide and cultivate a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. - Ensure the responsible and ethical use of AI, adhering to industry standards and regulatory requirements, particularly within the energy industry. - Evaluate and select AI/ML tools, frameworks, and platforms while staying abreast of rapid advances in the field. - Represent the company in industry forums, conferences, and AI research communities to drive innovation and thought leadership. Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field. A Master's degree is preferred. - 10+ years of experience in AI/ML, with a minimum of 5 years in a leadership role. - Proven track record of applying AI, machine learning, and generative/agentic AI in commercial software products. - Strong understanding of AI tooling, infrastructure, and cloud-native AI/ML pipelines. - Previous experience in the energy sector or with software tailored for industrial domains. - Demonstrated ability to build and lead multidisciplinary teams and deliver AI-based solutions with tangible business impact. - Excellent communication and stakeholder management skills, including experience presenting to executive leadership. Nice to Have: - Experience with AI agents, autonomous systems, or decision intelligence. - Familiarity with energy industry data types, standards, and use cases such as grid management, asset performance, and forecasting. - Knowledge of MLOps, data governance, and responsible AI practices. Note: Employment eligibility to work with Quorum Software in India is required, as the company will not pursue visa sponsorship for this position. If you require reasonable accommodation during the application and/or interview process, please notify a member of the Human Resources Department.,

As an Agentic AI & AI Automation Expert at Edtech Informative, you will play a crucial role in training the next generation of AI automation professionals. Your responsibilities will include delivering live or recorded sessions, designing hands-on automation projects, and guiding learners in building intelligent agent-based systems. The ideal candidate for this position should have hands-on expertise in automation tools such as n8n, Make, Zapier, or similar platforms. You should also possess a deep understanding of Agentic AI workflows and tools, along with a passion for teaching and building real-world use cases. Experience in creating or guiding automation-first systems, as well as excellent communication and mentorship skills, are also essential for this role. If you are enthusiastic about shaping the future of AI-powered automation and have the necessary skills and expertise, we encourage you to apply for this Trainer position at Edtech Informative. Join us in empowering individuals to excel in the field of AI automation and make a significant impact on the industry. To apply for this position, please send your resume to info@edtechinformative.com or visit our website at www.edtechinformative.com. Let's work together to build a future where AI-powered automation drives innovation and efficiency in various industries.,

We are looking for a Systems Architect (AVP level) with extensive experience in designing and scaling Generative AI solutions for production. As a Systems Architect, you will play a crucial role in collaborating with data scientists, ML engineers, and product leaders to shape enterprise-grade GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI. You will also be responsible for architecting data pipelines, training/inference workflows, and MLOps integration. It is essential to ensure that the systems you design are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should have 12-15 years of experience in cloud-native and distributed systems, with at least 2-3 years of experience in GenAI/LLMs using tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is required. Experience with technologies like RAG, semantic search, agent orchestration, and MLOps will be beneficial for this role. Strong architectural thinking and effective communication with stakeholders are essential skills. Preferred qualifications include cloud certifications, AI open-source contributions, and knowledge of security and governance principles. If you are passionate about designing cutting-edge Generative AI solutions and possess the necessary skills and experience, we encourage you to apply for this leadership role.,

Develop Conversational Text AI platforms using modern LLM frameworks. Work across backend (Python, Node.js), frontend (JavaScript, HTML/CSS), databases, and AI/ML stacks. Required Candidate profile Proficient in Python, Node.js, JavaScript, HTML/CSS, AI/ML (LLMs, embeddings, prompt engineering), Redis, PostgreSQL, Cosmos DB, DevOps, CI/CD. Bachelor’s or Master’s in CS/related field.

Role & responsibilities 1.Develop and execute a strategic roadmap for executing Applied AI engineering projects with a product engineering mindset . 2. Lead and inspire a high-performance core group of developers, architects & engineering managers. 3. Responsible for hiring, training, coaching, team building, assessing performance, providing feedback, mentoring, and helping the team succeed. Our enthusiastic Data Scientists are just getting started -- and as a manager, you guide the way and set up examples by coming up with the best solutions to complex engineering problems. 4. Collaborate with architects, product management, and other engineering teams to create solutions that increase the platform's value. 5. Own Delivery - This includes overseeing the end-to-end delivery of Applied AI projects, ensuring adherence to timelines, budget, and impeccable engineering quality, setting up and managing periodic progress meeting,s and act as a point of escalation for project issues, providing timely resolution and effective communication with stakeholders. 6. Participate with senior management in developing a long-term technology road map. Influence, collaborate and communicate effectively with various leaders. Education and Qualification 1.Proven experience of 10+ years in a leadership role overseeing Applied AI engineering teams, preferably within a professional services environment. 2. Successful track-record of Solution Architecting and High-end AI based software development. 3. Strong technical background with expertise in Generative AI, Google AI APIs, Machine Learning, software development methodologies, languages, and frameworks. 4. Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. 5. Demonstrated success in delivering complex software projects on time and within budget. 6. Ability to thrive in a fast-paced, dynamic environment and adapt to evolving business needs. 7. Leadership qualities including strategic thinking, decision-making, problem-solving, and team-building. 8. Experience in client-facing roles with a focus on building and maintaining relationships. 9. Our technology stack is insane and the role requires experience and understanding of technologies like: a. Python, Pyspark , TensorFlow b. Databases: MongoDB, Google Cloud SQL, Graph/NoSQL, Bigtable c. Google App Engine, GKE, Vertex A I , Doc AI, Conversational AI

We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If youre passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB Key Requirements Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture.

Hello All, Urgent job openings for Data Science Lead & Architect role @ Remote. Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (vinay.kondapalli@smarkinfosolutions.com). Mention Subject Line :- Applying for Data Lead Or Architect @ Remote Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Looking for Serving candidates only (15-30 days) Preffered Location -: Hyd or Bangalore or Remote - Job Description : We are looking for a Data Scientist Lead/Architects for one of service based Organization. Mandatory Skills- Generative AI, Python , LLM, Agentic Ai , RAG, Langchain Role : As a Gen AI Lead /Architect your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems: As a Gen AI Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Req Skills : GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills.. Responsibilities : Lead the design of architecture for generative AI solutions within the Azure ecosystem. Collaborate with project managers, data scientists, software engineers, and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions.. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Thanks & Regards, Vinay Kondapalli, vinay.kondapalli@smarkinfosolutions.com Sr.IT Recruiter

Auxiliobits is a global consulting and AI services firm that specializes in delivering transformative automation solutions across various industries. With a presence in India, Dubai, and the US, we focus on HyperAutomation, Agentic AI, and Intelligent Process Automation, leveraging advanced technologies such as UiPath, LLMs, Autonomous Agents, and cloud-native deployments. We are currently looking for a Senior RPA + Agentic AI Developer to take the lead in developing and deploying next-gen automation solutions. The ideal candidate should possess solid expertise in UiPath development and have hands-on experience or a keen interest in Agentic AI frameworks like LangChain, ReAct, or UiPath's Agentic features. In this role, you will collaborate closely with cross-functional teams to deliver automation systems that go beyond being rule-based to being reasoning- and context-aware. Key Responsibilities: - Design, build, and deploy scalable RPA solutions using UiPath and modern automation frameworks. - Develop and integrate Agentic AI components, such as ReAct-style agents, LLM orchestration, and autonomous workflows. - Utilize APIs, cloud services, and enterprise data to facilitate AI-powered decision-making and process execution. - Identify automation opportunities blending RPA and AI in collaboration with Process Owners and Business Analysts. - Implement document understanding, NLP models, and AI-based classification in end-to-end workflows. - Create reusable components, libraries, and utilities to expedite delivery. - Ensure adherence to security, scalability, and auditability standards. Required Qualifications: - Minimum 5 years of experience in RPA development, with at least 3 years focusing on UiPath (REFramework, Queues, Orchestrator, etc.). - Preferably possess the UiPath Advanced Developer Certification. - Proficiency in .NET, VB, Python, or similar programming languages. - Experience in integrating REST/SOAP APIs, working with databases, and handling structured/unstructured data. - Familiarity with LLMs, prompt engineering, LangChain, OpenAI, or similar AI tools. - Hands-on exposure to ReAct agents, retrieval-augmented generation (RAG), or agent orchestration concepts. - Strong problem-solving skills and the ability to work independently in a fast-paced environment. Good to Have: - Experience in Agentic Process Automation or multi-agent architectures. - Knowledge of cloud services like Azure, AWS, GCP, and deploying AI/RPA workloads on the cloud. - Domain expertise in finance, healthcare, logistics, or procurement. - Familiarity with platforms such as UiPath Apps, Action Center, and AI Center. Perks & Benefits: - Opportunity to work with cutting-edge automation and AI technologies. - Collaboration with a high-performance team and global clients. - Exposure to enterprise-grade deployments and innovation projects. - Career advancement prospects in an AI-first automation company.,

AI-Enabled Solution Architect - Data Modernization, GenAI & Business Impact We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients. Youll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions. Job Responsibilities 1 Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. 2 Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON). 3 Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multi-modal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). 4 Drive data quality through embedded validation, monitoring, and automated reporting frameworks. 5 Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support. 6 Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. 7 Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross-functional collaboration, and delivery excellence. 8 Champion AI and data architecture as strategic enablers of business transformation—linking technology decisions directly to measurable client outcomes. 9 Team collaboration: Collaborate effectively with cross-functional teams to understand their data requirements and provide data modelling expertise as needed. . Requirements : Programming & APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2 GenAI & Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search) AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Excellent analytical and problem-solving skills , with the ability to understand complex data relationships. Strong communication and interpersonal skills , with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders. Prior experience in mentoring and guiding junior team members is a plus . Ideal Background Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges. ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED : We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving.We take our work seriously but not ourselves.It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us! Equal Employment Opportunity and Nondiscrimination Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased, and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply. Revised 23/7/2025

HCL is looking for technical expert with a deep knowledge in machine learning and Natural language processing. The individual will be working on a cutting edge research project working alongside with best in industry researchers in GEN AI, ML and NLP area. Job Title : GEN AI Tech Architect Location: Noida Role & Responsibilities Research, develop, optimize and productize for artificial intelligence and machine learning applications. Skills & Competencies In-depth knowledge of machine learning, text extraction and image processing techniques & Natural Language Processing. Desinging AI Solutions Experience in developing machine learning, text extraction and image processing algorithms, and optimizing the existing algorithms. Coding experience in Python. Experience in products like Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or similar tools. Experience working with Cloud Services AWS, Azure etc. Takes ownership of self-professional development The desired candidate should be a quick thinker and should have a track record of high performance product development. Additionally, the candidate should be innovative, dedicated and result oriented. Research experience is preferred. Strong background in Math specially in statistics , modelling and matrices Qualification Experience 10 years Education Master’s Degree in Computer Science

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Assistant Vice President-AI Architect/Solution Architect! Position Overview: We are seeking an exceptional Senior Technology Leader to drive AI-led innovation and strategic technology discussions at the highest executive levels (CIO, CDO, CTO, CXO). This role demands a visionary leader who can shape enterprise AI strategy, influence stakeholders, and guide organizations through transformative journeys leveraging Generative AI, Agentic AI, and next-generation technologies. Key Responsibilities: - Act as a trusted advisor to C-level executives (CIO, CDO, CTO, CXO) to shape AI and technology transformation strategies. - Lead enterprise-wide AI thought leadership, including Generative AI, Agentic AI, and emerging technologies. - Develop and drive technology roadmaps aligned with business objectives and innovation priorities. - Represent the organization at industry forums, executive briefings, and key customer engagements. - Partner with product, engineering, data, and business teams to translate vision into executable initiatives. - Identify AI-driven growth opportunities and drive executive buy-in for pilot and scale initiatives. - Build and mentor a high-performing cross-functional team of AI strategists, architects, and engineers. - Lead enterprise education on AI ethics, governance, and responsible AI deployment. Qualifications we seek in you! Minimum Qualifications Education: - Bachelor&rsquos/ Master&rsquos degree in Computer Science , Engineering, Data Science, or related field. - MBA or Executive Education from a reputed institution is a plus. Experience: - Strong Technologist with a background in End to End Solutioning/Architecting experience. - Experience in executive-level advisory roles, engaging with C-suite stakeholders. - Hands-on leadership in AI/ML initiatives, including Generative AI, Agentic AI and Conversational AI. - Experience driving enterprise-scale digital transformation and innovation initiatives. - Proven track record of building and leading high-performance teams in fast-paced environments. Primary Skills (Must-Have): - Executive presence and exceptional communication skills for C-level conversations. - Deep understanding of AI technologies: Generative AI (LLMs), Agentic AI frameworks, Conversational AI, ML Ops. - Deep understanding of one of the Business/Domain expertise - for e.g. Retail, FS, CPG, Life Science, HealthCare. - Strategic thinking and ability to articulate AI&rsquos business impact in boardroom settings. - Strong understanding of AI governance, ethics, risk management, and compliance. - Experience in designing AI-enabled enterprise architectures and data strategies. Preferred Qualifications Secondary Skills (Good-to-Have): - Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services offered. - Understanding of data platforms, APIs, integration strategies, and agent-based architectures. - Knowledge of modern software engineering practices (microservices, APIs, DevOps). - Exposure to industry-specific AI applications (Finance, Healthcare, Manufacturing, etc.). - Public speaking experience at conferences, webinars, or industry forums. - MBA or Executive Education from a reputed institution is a plus. Leadership & Personal Attributes: - Visionary thinker with a passion for emerging technologies. - Influential leader with ability to inspire both technical and non-technical audiences. - High emotional intelligence, with ability to build trust at all organizational levels. - Strong executive storytelling capabilities turning complex technology into compelling narratives. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Preferred candidate profile Experience: Freshers We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. As an early-career team member, you will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Experience with Agentic AI Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant-Data Engineer, AWS+Python, Spark, Kafka for ETL! Responsibilities Develop, deploy, and manage ETL pipelines using AWS services, Python, Spark, and Kafka. Integrate structured and unstructured data from various data sources into data lakes and data warehouses. Design and deploy scalable, highly available, and fault-tolerant AWS data processes using AWS data services (Glue, Lambda, Step, Redshift) Monitor and optimize the performance of cloud resources to ensure efficient utilization and cost-effectiveness. Implement and maintain security measures to protect data and systems within the AWS environment, including IAM policies, security groups, and encryption mechanisms. Migrate the application data from legacy databases to Cloud based solutions (Redshift, DynamoDB, etc) for high availability with low cost Develop application programs using Big Data technologies like Apache Hadoop, Apache Spark, etc with appropriate cloud-based services like Amazon AWS, etc. Build data pipelines by building ETL processes (Extract-Transform-Load) Implement backup, disaster recovery, and business continuity strategies for cloud-based applications and data. Responsible for analysing business and functional requirements which involves a review of existing system configurations and operating methodologies as well as understanding evolving business needs Analyse requirements/User stories at the business meetings and strategize the impact of requirements on different platforms/applications, convert the business requirements into technical requirements Participating in design reviews to provide input on functional requirements, product designs, schedules and/or potential problems Understand current application infrastructure and suggest Cloud based solutions which reduces operational cost, requires minimal maintenance but provides high availability with improved security Perform unit testing on the modified software to ensure that the new functionality is working as expected while existing functionalities continue to work in the same way Coordinate with release management, other supporting teams to deploy changes in production environment Qualifications we seek in you! Minimum Qualifications Experience in designing, implementing data pipelines, build data applications, data migration on AWS Strong experience of implementing data lake using AWS services like Glue, Lambda, Step, Redshift Experience of Databricks will be added advantage Strong experience in Python and SQL Proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift. Advanced programming skills in Python for data processing and automation. Hands-on experience with Apache Spark for large-scale data processing. Experience with Apache Kafka for real-time data streaming and event processing. Proficiency in SQL for data querying and transformation. Strong understanding of security principles and best practices for cloud-based environments. Experience with monitoring tools and implementing proactive measures to ensure system availability and performance. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills to work effectively with cross-functional teams. Preferred Qualifications/ Skills Master’s Degree-Computer Science, Electronics, Electrical. AWS Data Engineering & Cloud certifications, Databricks certifications Experience with multiple data integration technologies and cloud platforms Knowledge of Change & Incident Management process Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

About Auxiliobits: Auxiliobits is a global consulting and AI services firm delivering transformative automation solutions across industries. With presence in India, Dubai, and the US, we specialize in HyperAutomation , Agentic AI , and Intelligent Process Automation , helping enterprises realize value at scale through advanced technologies like UiPath , LLMs , Autonomous Agents , and cloud-native deployments . Job Summary: We are seeking a Senior RPA + Agentic AI Developer to lead the development and deployment of next-gen automation solutions. The ideal candidate will bring solid UiPath development expertise along with hands-on experience or strong interest in Agentic AI frameworks (such as LangChain, ReAct, or UiPaths Agentic features). You will work closely with cross-functional teams to deliver automation systems that are not only rule-based but also reasoning- and context-aware. Key Responsibilities: Design, build, and deploy scalable RPA solutions using UiPath and modern automation frameworks. Develop and integrate Agentic AI components , including ReAct-style agents, LLM orchestration, and autonomous workflows. Work with APIs, cloud services, and enterprise data to enable AI-powered decision-making and process execution. Collaborate with Process Owners and Business Analysts to identify automation opportunities that blend RPA and AI. Implement document understanding, NLP models, and AI-based classification in end-to-end workflows. Build reusable components, libraries, and utilities to accelerate delivery. Ensure compliance with security, scalability, and auditability standards. Required Qualifications: 5+ years of experience in RPA development, with at least 3 years in UiPath (REFramework, Queues, Orchestrator, etc.). UiPath Advanced Developer Certification (preferred). Proficiency in .NET, VB, Python , or similar programming languages. Experience integrating REST/SOAP APIs , working with databases, and handling structured/unstructured data. Understanding of LLMs , prompt engineering , LangChain , OpenAI , or similar AI tools. Hands-on exposure to ReAct agents , retrieval-augmented generation (RAG) , or agent orchestration concepts. Strong problem-solving skills and an ability to work independently in a fast-paced environment. Good to Have: Experience in Agentic Process Automation or multi-agent architectures. Knowledge of cloud services (Azure, AWS, GCP) and deploying AI/RPA workloads on cloud. Domain experience in finance, healthcare, logistics, or procurement. Familiarity with platforms like UiPath Apps, Action Center, and AI Center. Perks & Benefits: Work with bleeding-edge automation and AI tech. Collaborate with a high-performance team and global clients. Exposure to enterprise-grade deployments and innovation projects. Career advancement opportunities in an AI-first automation company. Industry Software Development Employment Type Full-time

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

Primary Skills (Must Have): Generative AI Expertise: Extensive experience in designing and implementing generative AI solutions, including knowledge of various generative models such as GANs, VAEs, and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. Proficient in prompt engineering, fine tuning, agentic framework, GenAI SDKs Proficient in Python , Langchain, Langgraph, Pytorch or Tensorflow. Proficient in the Mathematics behind the AI/ML algorithms. MLOps is added advantage. Proficiency in basic and advanced RAG techniques, auto evaluations of RAG outputs Azure Proficiency: Profound understanding and hands-on experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure AI Foundary, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). Ability to leverage Azure's capabilities to architect end-to-end AI solutions and optimize performance. Architecture Design: Strong architectural skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes. Leadership and Collaboration: Exceptional leadership skills with the ability to lead cross-functional teams and drive architectural decisions. Proven experience in mentoring junior team members, conducting code reviews, and fostering a culture of innovation and collaboration. Problem-solving and Innovation: Strong analytical and problem-solving skills, with a track record of proposing innovative solutions to complex technical challenges. Ability to stay updated on emerging AI technologies, best practices, and industry trends to drive continuous improvement. Role & responsibilities : As a Gen AI Researcher, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Lead the design of architecture for generative AI solutions within the Azure/PCAI ecosystem. Collaborate with project managers, data scientists and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions. Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning. Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes. Optimize AI models and systems for performance, scalability, and efficiency. Conduct regular code reviews and provide technical guidance to junior members of the team. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments. Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.

Duration: 6 to 8 Months Location: Ahmedabad, Gujarat Eligibility: Engineering students passing in 2026 (currently in Sem 7) with a background in Computer Science, IT, or related fields. Stipend: INR 12,000/- per month Start Date: 4th August 2025 About the Internship Mastek Limited is looking for 10 enthusiastic and curious interns with a foundational understanding or prior knowledge/exposure to Artificial Intelligence (AI) . This is not a conventional internship. You will be part of a dynamic, evolving environment where youll tackle real-world challenges, contribute to live projects, and co-create solutions with experienced professionals. This is a unique opportunity to work closely with our Oracle Delivery Practice teams to reimagine and innovate ways of working using AI and automation in Oracle Enterprise Applications. What Youll Do Collaborate with Oracle Delivery teams to identify opportunities for AI-driven innovation for customer success. Work on real-time problem statements and propose practical AI-based solutions. Explore and experiment with AI/ML tools, frameworks, and models. Participate in brainstorming sessions, solution design, and proof-of-concept development. Learn and adapt continuously in a fast-paced, agile environment. What Were Looking For Advanced understanding of AI/ML concepts (projects, certifications, or coursework preferred). Familiarity with Python, data structures, and algorithms. Familiarity with Agentic frameworks like Langchain, Langraph, crew ai etc. Exposure to tools like TensorFlow, PyTorch, OpenAI APIs, or similar is a plus. Strong analytical and problem-solving skills. Eagerness to learn, experiment, and contribute proactively. Good communication and collaboration skills.

With strong programming exp with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong knowledge of machine learning concepts Exp in cloud platforms (AWS, Azure, or GCP) & infrastructure-as-code tools like Terraform Required Candidate profile Exp in LLMs, RAG architectures, Natural Language Processing(NLP) Python, LlamaIndex /LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript & React.

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

Wipro Limited is a leading technology services and consulting company dedicated to creating innovative solutions that cater to clients" most intricate digital transformation requirements. With a comprehensive range of consulting, design, engineering, and operational capabilities, Wipro assists clients in achieving their most ambitious goals and establishing sustainable businesses that are prepared for the future. Their global workforce of over 230,000 employees and business partners spread across 65 countries ensures that they fulfill their commitment to helping customers, colleagues, and communities thrive amidst the ever-evolving landscape. In this role, you will need to possess the following core qualifications: - A minimum of 12 years of experience in software/data architecture with practical exposure. - Proficiency in Agentic AI & AWS Bedrock is a must, showcasing hands-on expertise in designing, deploying, and managing Agentic AI solutions utilizing AWS Bedrock and AWS Bedrock Agents. - Extensive knowledge of cloud-native architectures on AWS encompassing compute, storage, networking, and security aspects. - Demonstrated ability in defining technology stacks involving microservices, event streaming, and contemporary data platforms such as Snowflake and Databricks. - Proficiency in Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (IaC) utilizing tools like Azure DevOps and Terraform. - Strong understanding of data modeling, API design (REST/GraphQL), and integration patterns (ETL/ELT, CDC, messaging). - Excellent communication skills and adept at managing stakeholders, capable of translating intricate technical concepts into tangible business value. Additionally, the following qualifications are preferred for this role: - Experience in the media or broadcasting industry. - Familiarity with Salesforce or other enterprise iPaaS solutions. - Relevant certifications such as AWS/Azure/GCP Architect, Salesforce Integration Architect, and TOGAF. Moreover, proficiency in Generative AI is a mandatory skill for this position. The ideal candidate should have 8-10 years of relevant experience. Join Wipro in their journey to reinvent the digital landscape. As they strive to build a modern organization, they are seeking individuals who are driven by the spirit of reinvention - be it in their personal growth, career trajectory, or skill development. At Wipro, you will be part of a dynamic environment that encourages constant evolution and innovation, adapting to the changing world around us. Embrace this opportunity to contribute to a purpose-driven business and shape your own reinvention journey. Realize your ambitions at Wipro, where applications from individuals with disabilities are warmly welcomed.,

We are searching for a skilled and adaptable Data Engineer with proficiency in PySpark, Apache Spark, and Databricks, combined with knowledge in analytics, data modeling, and Generative AI/Agentic AI solutions. This position suits individuals who excel at the convergence of data engineering, AI systems, and business insights, contributing to impactful programs with clients. Your responsibilities will include designing, constructing, and enhancing distributed data pipelines utilizing PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. You will also be tasked with supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications. Additionally, creating and maintaining interactive dashboards and BI reports using tools like Power BI, Tableau, or Looker for business stakeholders and consultants will be part of your role. Furthermore, your duties will involve conducting adhoc data analysis to facilitate data-driven decision-making and rapid insight generation. You will be expected to develop and sustain robust data warehouse schemas, star/snowflake models, and provide support for data lake architecture. Integration with and support for LLM agent frameworks like LangChain, LlamaIndex, Haystack, or CrewAI for intelligent workflow automation will also fall under your purview. In addition, ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments (Azure/AWS/GCP) will be important aspects of your work. Collaboration with cross-functional teams, including AI scientists, analysts, and business teams to drive use-case delivery, is key. Lastly, maintaining robust data governance, lineage, and metadata management practices using tools such as Azure Purview or DataHub will also be part of your responsibilities.,

You have a great opportunity to join as an Ecommerce Support Manager in our team based in Kochi/Trivandrum. With a minimum of 3 years of experience, you will be responsible for managing Ecommerce Support Programs efficiently. Your role will involve working with various tools such as IFS Ticketing, Jira Service Management, Atlassian dashboards, and metrics. Additionally, you should have experience with the SAP Commerce platform, CMS Contentful, AEM, and managing eCommerce solutions classified as SaaS. Your strong background in Ecommerce, particularly with B2B/B2C implementation, will be vital for this role. You will be tasked with managing and optimizing e-commerce platforms to ensure high uptime, fast load times, and a seamless user experience. Your responsibilities will also include identifying trends to improve operational efficiencies and working with a team of Offshore Ecommerce Support Analysts. Moreover, you should be well-versed in Agile methodologies like scrum and have experience in the software development life cycle. Communication skills are key as you will actively participate in discussions with business stakeholders and lead the customer support team. Your expertise will be crucial in resolving operational issues, analyzing e-commerce performance metrics, and providing mentorship to team members. As an Ecommerce Support Manager, you will play a significant role in ensuring compliance with laws and regulations related to e-commerce operations. Building strong relationships with cross-functional teams, implementing productivity tools, and monitoring support schedules for efficient ticket assignments will be part of your daily responsibilities. Your ability to communicate technical information clearly and draft documents for knowledge base expansion will be highly valued. If you have a total of 7-12 years of experience with at least 3 years in leading an Ecommerce support team, and possess strong problem-solving and decision-making skills, we look forward to having you on board. Join us in optimizing support operations, enhancing customer experience, and driving continuous improvement in our IT Operations team.,

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We create intelligent, user-first digital products that redefine industries through the power of AI and engineering excellence. We are looking for a Senior Software Engineer-AI with 4-6 years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment, fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. As a Senior Software Engineer-AI at Techvantage.ai, you will be responsible for building and deploying AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systemsautonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-endfrom research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. In order to excel in this role, we are seeking candidates with 3-6 years of overall software development experience, with at least 3 years specifically in AI/ML engineering. Strong proficiency in Python is required, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) is highly desirable. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus. Experience building and deploying ML models to production environments is essential. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts is beneficial. Comfortable working in a startup-like environment is crucialself-motivated, adaptable, and willing to take ownership. A solid understanding of API development, version control, and modern DevOps/MLOps practices is expected from the ideal candidate.,