294 Agentic Ai Jobs - Page 3

Job Title: Quality Assurance (QA) Engineer - Conversational & Agentic AI Overview: We are seeking a skilled Quality Assurance (QA) Engineer with 3-7 years of experience in testing, QA, and reporting within the dynamic fields of Conversational AI and Agentic AI/LLMs. The ideal candidate will be passionate about ensuring the quality of cutting-edge AI systems, with a particular focus on conversational platforms, intelligent agents, and large language models (LLMs). Key Responsibilities: Develop and execute test cases, scripts, and procedures for both Conversational AI applications and Agentic AI/LLM systems. Collaborate with product managers, developers, and stakeholders to maintain quality standards throughout the product lifecycle. Conduct functional, regression, integration, and performance testing on Conversational AI platforms, agentic AI frameworks, and LLM-based solutions. Identify, document, and track defects using JIRA, providing detailed insights and reports on testing outcomes. Analyze business and technical requirements to design test strategies tailored to Conversational AI and Agentic AI/LLM use cases. Evaluate the usability, effectiveness, and scalability of AI-driven applications, offering actionable feedback. Generate comprehensive test reports and summaries for stakeholders, highlighting key findings and recommendations. Continuously improve QA methodologies to meet the evolving demands of Conversational AI and Agentic AI technologies. Required Qualifications: 3-7 years of experience in software testing and quality assurance, with expertise in Conversational AI and Agentic AI/LLMs. Strong understanding of standard testing practices, methodologies, and tools for AI applications. Hands-on experience with JIRA for defect tracking and project management. Proficiency in Excel for data analysis and reporting. Knowledge of functional and non-functional testing, including performance and security testing. In-depth familiarity with LLMs, agentic AI systems, and conversational technologies. Proven ability to work effectively in cross-functional teams within fast-paced environments. Excellent problem-solving and analytical skills. Desired Qualifications: Experience with automated testing tools and scripting languages. Exposure to natural language processing (NLP) testing and validation of intelligent agents. Familiarity with version control systems. Personal Attributes: Exceptional attention to detail and a strong commitment to quality. Excellent communication skills, both written and verbal. Self-driven and motivated to innovate within the AI domain. Ability to prioritize and manage multiple tasks in a dynamic, fast-evolving environment.

Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills 5+ years of work experience in writing code in Python Experience in using various Python libraries like Pandas, NumPy Experience in writing good quality code in Python and code refactoring techniques (e.g., IDEs – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) Strong experience on AI assisted coding experience. AI assisted coding for existing IDE's like vscode. Experimented multiple AI assisted tools and done research around it. Deep understanding of data structures, algorithms, and excellent problem-solving skills Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. Experience in building models for ML tasks (Regression, Classification) Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanis

Job Description The Oracle Health Applications & Infrastructure team focuses on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. At Oracle Health, our mission is to improve healthcare and quality of life globally through better experience and easier access to health and research data for patients and healthcare providers. We are looking for hands-on engineers with expertise and passion in solving difficult problems in all areas of software engineering: distributed systems, identity, security, observability, and user experience. This is an opportunity to design and build Agentic AI based cloud centric applications. You will be part of a team of smart, motivated, diverse people, and given autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. Who are we looking for? As an engineer in our team, youll be responsible for leading efforts in designing and building scalable, distributed, and resilient software components and services to support health care platform, applications, and our end users. We believe in ownership and expect you to think long term, mentor, and empower other engineers. As a tech leader you will be responsible for the complete SDLC from architecture, development, testing, first class monitoring, to production. Build enhancements within existing software architecture and suggest improvements to the architecture. Design, develop, troubleshoot, and debug software programs for databases, applications, tools, networks etc. to support health care platform in Provider Reimbursement area. Provide technical leadership to other software developers. Job Requirements: Bachelors degree in computer science or related field (Masters preferred) Around 10 years of experience in designing, developing, fixing, testing, and implementing software solution in accordance with established standards. Collaborate with other specialists, testers, and other team members to write high-quality code and deliver it to clients in a timely manner. Demonstrated ability to write great code in Java, JEE, JavaScript, SQL Experience developing enterprise level applications. Experience with application development using frameworks such as Spring / Micronaut Experience in application design using architectural patterns such as Microservices. Strong desire to make an impact and thrive in collaborative and energetic environments. Ability to effectively communicate technical concepts verbally and through design aspects. Chip in to scoping and improvement of solution designs, peer review code and design. Debug existing code to identify and resolve issues. Propose performance optimization and devise ideas for overall code refinement. Provide guidance to junior developers. Identify gaps in existing processes and suggest changes. Work independently on developing medium complex solutions. Propose and lead improvement projects for development, deployment, or application monitoring processes. Share knowledge within the team through mentoring, coaching and technical talks. Basic understanding and knowledge of AI / ML Preferred Qualifications: Experience in the healthcare industry and / or electronic medical records systems. Hands-on experience developing services on a public cloud platform (e.g., AWS, Azure, GCP) Building continuous integration/deployment pipelines with robust testing and deployment schedules FedRAMP, PCI DSS, or similar compliance and auditing experience Expertise in applying threat modelling or other risk identification techniques to develop security solutions

We're Hiring: AI/ML Platform Lead Are you passionate about driving cutting-edge AI and machine learning initiatives? Join as an AI/ML Platform Lead and lead the future of intelligent data solutions! Job Description & Requirements: Were looking for a dynamic professional with: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Hands-on experience with platforms such as Dataiku, Azure ML, Azure AI, Foundry , and other related systems Strong knowledge of Agile methodologies , DevOps practices , and CI/CD pipeline management Exceptional ability to manage multiple priorities in a fast-paced, dynamic environment Proven leadership skills in guiding cross-functional teams and leading large-scale tech initiatives Experience with Agile methodologies is a plus Interested? Send your CV to admin@spearheadps.com or reach out via WhatsApp- 9899080360 for more details!

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.

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 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.

Job Description Role: - Principal Engineer for ServiceNow focusing on Now Assist AI Agents - Lead the development of modern Service Management and Automation solutions, primarily in Healthcare - Design, develop, and own AI agent platform components, including prompt engineering, integrations, and workflows - Act as a technical and functional consultant for ServiceNow implementations utilizing AI and the Now Assist platform - Provide architectural guidance, deep product knowledge, and best practices - Translate customer needs into scalable solutions and manage customer engagement, including scope and risk management - Enable and mentor team members on ServiceNow domains Requirements: - Extensive experience in Professional Services, ideally with a software OEM background - Strong understanding of AI integration into workflows, decision-making, and automation - Experience with agentic/autonomous systems, vector search, human-AI interaction - Proven experience with large-scale, distributed systems and relevant technologies (Kubernetes, Kafka, Flink, Spark) - Programming expertise, especially in Java, JavaScript/TypeScript - Familiarity with ServiceNow certifications (CMA, CTA) and additional certifications (TOGAF desirable) - Hands-on with LLMs, prompt engineering, and applying AI to solve real-world problems - 6+ years in software engineering, with a focus on product design and user experience - Strong stakeholder management, communication skills, and ability to handle complex customer needs - Architectural and systems design skills, capable of working with changing priorities Skills: - Technical: ServiceNow platform, AI/ML, large-scale systems, web frameworks, Java, Kubernetes, data streaming tech - Consulting/Communication: Customer engagement, solution presentation, translating technical concepts to business stakeholders - Design & Visualization: Creating wireframes, workflows, conceptual documents - Soft skills: Ownership, execution, collaboration, agility in evolving environments

We are looking for a GenAI/ML Engineer to design, develop, and deploy cutting-edge AI/ML models and Generative AI applications . This role involves working on large-scale enterprise use cases, implementing Large Language Models (LLMs) , building Agentic AI systems , and developing data ingestion pipelines . The ideal candidate should have hands-on experience with AI/ML development , Generative AI applications , and a strong foundation in deep learning , NLP , and MLOps practices. Key Responsibilities Design, develop , and deploy AI/ML models and Generative AI applications for various enterprise use cases. Implement and integrate Large Language Models (LLMs) using frameworks such as LangChain , LlamaIndex , and RAG pipelines . Develop Agentic AI systems capable of multi-step reasoning and autonomous decision-making . Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval techniques. Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deploy AI solutions and enhance the AI stack. Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices. Leverage Azure and Databricks for training , serving , and monitoring AI models at scale. Required Qualifications & Skills (Mandatory) 4+ years of hands-on experience in AI/ML development , including Generative AI applications . Expertise in RAG , LLMs , and Agentic AI implementations. Strong experience with LangChain , LlamaIndex , or similar LLM orchestration frameworks. Proficiency in Python and key ML/DL libraries : TensorFlow , PyTorch , Scikit-learn . Solid foundation in Deep Learning , Natural Language Processing (NLP) , and Transformer-based architectures . Experience in building data ingestion , indexing , and retrieval pipelines for real-world enterprise use cases. Hands-on experience with Azure cloud services and Databricks . Proven track record in designing CI/CD pipelines and using MLOps tools like MLflow , DVC , or Kubeflow . Soft Skills Strong problem-solving and critical thinking ability. Excellent communication skills , with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate effectively in agile , cross-functional teams . A growth mindset , eager to explore and learn emerging technologies. Preferred Qualifications Familiarity with vector databases such as FAISS , Pinecone , or Weaviate . Experience with AutoGPT , CrewAI , or similar agent frameworks . Exposure to Azure OpenAI , Cognitive Search , or Databricks ML tools . Understanding of AI security , responsible AI , and model governance . Role Dimensions Design and implement innovative GenAI applications to address complex business problems. Work on large-scale, complex AI solutions in collaboration with cross-functional teams. Take ownership of the end-to-end AI pipeline , from model development to deployment and monitoring. Success Measures (KPIs) Successful deployment of AI and Generative AI applications . Optimization of data pipelines and model performance at scale. Contribution to the successful adoption of AI-driven solutions within enterprise use cases. Effective collaboration with cross-functional teams, ensuring smooth deployment of AI workflows. Competency Alignment AI/ML Development : Expertise in building and deploying scalable and efficient AI models. Generative AI : Strong hands-on experience in Generative AI , LLMs , and RAG frameworks. MLOps : Proficiency in designing and maintaining CI/CD pipelines and implementing MLOps practices . Cloud Platforms : Experience with Azure and Databricks for AI model training and serving.

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration 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. Role & responsibilities : As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. Conduct code reviews and refactoring wherever possible

Experience: 3+ years Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face Notice Period : Immediate joiners 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. 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.). 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

Prompt Engineering and its strategies Should know how LLM works and its hyper parameter ( temperature, top_p) Agentic AI framework like langchain, lang graph, crew ai RAG LLM evaluation and observability Python Deployment on any one of cloud services

Immediate Joiner Job Summary 4+ years of experience. Skills: Agentic AI, RAG, Python. Education: B tech- M tech Annual bonus

Role: Python Intern Location: Mumbai (Goregaon) Working Days: 5 days About us: Crimson Interactive - https://www.crimsoni.com/ We are a technology-driven scientific communications & localization company. Crimson offers a robust ecosystem of services with cutting-edge AI and learning products for researchers, publishers, societies, universities, and government research bodies worldwide. With a global presence, including 9 international offices, we cater to the communication needs of the scientific community and corporates. Crimson Enago flagship products At Crimson Enago we are laser-focused on building AI-powered tools and services that significantly boost the productivity of researchers and professionals. Every researcher or professional goes through the stages of knowledge discovery, knowledge acquisition, knowledge creation, and knowledge dissemination. However, each stage is cognitively heavy and is tightly coupled. In this direction, we have our flagship products Trinka and Enago Read that focus on making all these four stages easy and fast. About Trinka Trinka (www.trinka.ai) is an AI-powered English grammar checker and language enhancement writing assistant designed for academic and technical writing. Built by linguists, scientists, and language lovers, Trinka finds and corrects thousands of complex writing errors so you dont have to. Trinka corrects contextual spelling mistakes, and advanced grammar errors, enhances vocabulary usage, and provides writing suggestions in real-time. Trinka goes beyond grammar to help professionals and academics ensure professional, concise, and engaging writing. With subject-specific correction, Trinka understands the nuances in the expression of each subject and ensures the writing is fit for the subject. Trinka's Enterprise solutions come with unlimited access and great customization options to all of Trinkas powerful capabilities. About Enago Enago Read Enago Read (www.read.enago.com) is the first smart workspace that helps researchers (students, professors, and corporate researchers) to be better and faster in their research projects. Powered with proprietary AI algorithms and a unique approach to solving problems with design and tech, Enago Read is set to be the default workspace for any research-heavy projects. Launched in 2019, the product connects information (Research papers, Blogs, Wiki, Books, Courses, Videos, etc.) to behaviors (reading, writing, annotating, discussing & more), opening up newer insights and opportunities in the academic space that was otherwise not possible (or not imaginable). About the team We are a bunch of passionate researchers, engineers, and designers who came together to build a product that can revolutionize the way any research-intensive projects are done. Reducing cognitive load and helping people to convert information into knowledge, is at the core of our mission. Our engineering team is building a scalable platform that deals with tons of data, AI processing over the data, and interactions of users from across the globe. We believe research plays a key role in making the world a better place, and we want to make it easy to approach and fun to do! Roles and Responsibilities: Good knowledge in Python, Agentic AI and SQL Good academics scores throughout Ability to think logically Strong problem-solving skills and the ability to troubleshoot technical issues Good communication skills and the ability to work collaboratively in a team Passion for learning new technologies and tools

Skills: Express JS, Next JS, GraphQL, Microservices/Micro frontend Architecture, DotNet (All mandatory) Experience: 8.5 to 11 years Work Location: Bangalore Principal Engineer SailPoint We are looking for Full stack developer with Identity and Access Lifecycle management experience, with 5+ years of relevant experience, capable of delivering enterprise solutions. Technically, you will be comfortable working using Agile methodologies in a Scrum/SAFe environment, and have proven experience designing, building and managing enterprise application with modern authentication capabilities for Cloud and self-hosted applications. Your responsibilities include: Design, development and implementation of the IAM related business process. The role involves contributing to the end-to-end identity and account lifecycle processes The primary responsibilities include ensuring provisioning/ deprovisioning secure management of access to applications and resources both on-premises and in the cloud. Supporting the product owner and architects in the entire lifecycle of user identities, from provisioning and modification to de-provisioning, ensuring accurate and timely access rights. Ensure that regulatory requirements are met and continuously evolve and improve the underlying processes, strategies, and roadmap of capabilities and offerings by adopting new technologies where beneficial (such as automation, AI/ML, analytics, etc.). Assist the IAM team and be POC for compliance with authorities during test of control verification. Act as the SME for IAM technologies, including but not limited to Identity Governance and Administration (IGA), Account and Access provisioning / deprovisioning, Access reviews, Identity & Access Reporting, Integration with HR source applications, Password management. Ensure the security of IAM systems by implementing best practices and monitoring for vulnerabilities. Work with IT teams and stakeholders to understand requirements and provide technical support. Maintain comprehensive documentation of configurations, processes, and protocols. Continuously evaluate and implement new IAM technologies and best practices to enhance security and efficiency. Why you? Basic Qualifications: Extensive hands-on experience in developing and deploying enterprise applications for Identity and Access Management (IAM) business processes using Next.js and Express.js. Skilled in implementing Micro Frontend architecture for web applications, leveraging Next.js and Webpack. Capable of understanding complex data requirements and designing GraphQL schemas tailored for enterprise IAM services. Proven expertise in implementing resolvers for diverse data sources, including Active Directory, Entra ID, various databases, and REST/SOAP APIs. Proficient in integrating guardrails and security measures within GraphQL schema implementations. Advanced knowledge of TypeScript-based development and deployment in cloud serverless or containerized environments. Expertise in designing abstraction layers to simplify complex systems and isolate business logic, facilitating seamless integration between various IAM components and services. Experience in orchestrating cross-functional business processes to enable seamless end-to-end workflows, ensuring alignment across diverse enterprise systems and departments. Strong problem-solving abilities with hands-on experience in debugging and resolving system errors. Comprehensive understanding of testing phases and expertise in managing traceability during testing processes. Proficiency in using GitHub and Azure DevOps for version control and CI/CD pipeline management. In-depth knowledge of IAM processes in enterprise environments, with a focus on security posture and compliance implementation. Proficient in managing and working with various database solutions, including Azure SQL, IaaS SQL, Oracle, and NoSQL databases. Familiarity with application security best practices and tools for safeguarding enterprise systems. Excellent verbal and written communication skills to convey technical concepts effectively to non-technical stakeholders. Solid understanding of audit and regulatory compliance, with the ability to engage with compliance authorities. Expertise in integrating IAM systems with LDAP, EntraID and Active Directory (AD). Familiar with cloud IAM solutions and services offered by Microsoft Azure and other cloud providers. Education: Bachelors degree in computer science, Information Technology, or a related field. Soft Skills: Outstanding problem-solving capabilities, strong communication skills, and a collaborative team-oriented mindset. Preferred Qualifications: Proficiency in scripting languages such as TypeScript, JavaScript, and .NET for automating IAM workflows and processes. Advanced knowledge of frameworks like React and front-end technologies, including HTML, CSS, and TypeScript/JavaScript. Experience in developing automated unit tests and conducting static and dynamic code analyses. Skilled in building and deploying web applications via CI/CD pipelines using GitHub Actions or Azure DevOps. Expertise in deploying, managing, and monitoring applications in cloud environments like Microsoft Azure or Google Cloud. Previous experience working within a centralized IT team in highly regulated industries, such as pharmaceuticals or financial services. Demonstrated experience in establishing governance frameworks for Agentic AI solutions within enterprise environments. Familiarity with implementing business process solutions utilizing Agentic AI design principles.

Mandatory Skill sets - Python, OpenAI, Vector dbs, GenAI models, Agentic AI Good to have skills - Azure Cognitive Services(Vision, Speech and language search, AI Search), Development experience in Azure, RAG development, Retrieval Solutions on Structured data, Azure Container Apps and functions, Azure Data lake, Azure Blob storage, Azure Cosmos DB , Azure SQL DB, Azure data factory, Azure Data bricks, Azure Web Apps, semantic kernel, Power BI, SharePoint, Data ingestion pipeline, APIs, React, Devops, Agile framework, LLM, SLM, Other Models, fine tuning

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As an Assistant Vice President, Learning Expert in Global Advisory, you will play a crucial role in developing impactful learning programs that enhance advisory capabilities and deepen understanding of advanced technology solutions like Agentic AI, Gen AI, and Data. Your responsibilities will include leading the design and implementation of comprehensive advisory capability build programs, collaborating with business leaders to evaluate skills gaps, designing learning solutions, tracking and analyzing training program results, and developing metrics to measure effectiveness. You will work closely with internal subject matter experts and vendor ecosystems to deliver relevant and impactful training programs, as well as collaborate with Business, HR, and other L&D professionals to foster a culture of continuous learning and innovation. The ideal candidate for this role is a strategic thinker, results-oriented leader with a passion for talent development, and a deep understanding of advisory/consulting within the professional services landscape. Minimum Required Qualifications / Skills: - Hands-on experience in consulting/advisory functions with a good understanding of roles and responsibilities - Understanding of industry best practices and trends - Proven track record of designing and delivering successful leadership programs for global advisory teams (AVP and Above) - Excellent facilitation, presentation, and communication skills - Ability to work independently and as part of a team with speed and agility - Strong business and project management skills If you are looking to make a significant impact in the learning and development space within the advisory/consulting industry, this role offers a unique opportunity to lead the design and implementation of innovative learning programs that align with organizational goals and objectives.,

As a Pega Senior Programmer Analyst, you will play a crucial role in driving strategic business process management initiatives using Pega technologies within a dynamic team. Your responsibilities will include: Being an individual contributor leading a team of technical resources to develop complex, high volume, and scalable Pega applications. Driving all aspects of the project lifecycle, partnering with IT vendors and business stakeholders to define requirements and develop functional specifications, design, estimate, build, and deploy Pega PRPC applications, and provide project oversight. Leveraging your in-depth knowledge of applications development to analyze complex problems, evaluate business and system processes, adhere to industry standards, and make evaluative judgments. Consulting with users/clients and other technology groups to address issues and recommend/install programming solutions, as well as developing solutions to update or enhance existing applications and infrastructure to meet IT commitments to the business. Ensuring adherence to essential procedures, defining operating standards and processes, and serving as an advisor or coach to new or lower-level analysts. Requirements for this role include a minimum Pega PCSSA certification, a Bachelor's degree in Computer Science or equivalent, and 8-12 years of hands-on experience working on Business Process Management (BPM) solutions with expertise in Pega Infinity. Additionally, you should be proficient in application design and development using Pega Infinity 8.8.x or higher, SQL with knowledge of designing relational databases in Oracle, and have hands-on experience with Pega Cosmos or Constellation. Experience with Pega Smart Dispute, Pega DX APIs, Agentic AI, cloud technology, or Pega deployment on containers is beneficial, as is familiarity with Agile methodology. Your business skills should include strong communication, problem-solving, collaboration, leadership, and project management abilities. You should be able to work in a team environment, provide project status reports, present solutions to peers and business groups, work effectively under pressure, manage deadlines, and adapt to unexpected changes in expectations or requirements. Additionally, you should act as a mentor and provide technical guidance to new or lower-level analysts. This job description provides an overview of the work performed, and additional job-related duties may be assigned as needed.,

As the Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a crucial 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, with a vision to accelerate our AI strategy by utilizing technologies such as machine learning, generative AI, agentic AI, and advanced analytics to create transformative products and capabilities for the energy sector. Your responsibilities will include leading the AI Innovation Center to drive research and development in AI and ML technologies specific to energy-related software use cases. You will define and execute the company's AI strategy, including identifying suitable platforms, tools, and applied AI models. Collaborating with cross-functional teams, you will develop AI-driven product features, services, and decision-support tools across our software ecosystem. Your role will also involve overseeing the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and drive positive business outcomes. Furthermore, you will be instrumental in building and leading a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. It will be your responsibility to ensure the responsible and ethical use of AI, complying with industry standards and regulatory requirements, especially those relevant to the energy industry. Staying abreast of the latest advancements in the field, you will evaluate and select AI/ML tools, frameworks, and platforms. Additionally, you will represent the company in industry forums, conferences, and AI research communities to promote innovation and thought leadership. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field, with a preference for a Master's degree. With over 10 years of experience in AI/ML, including at least 5 years in a leadership capacity, you should have a proven track record of successfully applying AI, machine learning, and generative/agentic AI in commercial software products. Strong communication skills, stakeholder management abilities, and experience presenting to executive leadership are essential for this position. Moreover, familiarity with energy industry data types, standards, and use cases, as well as knowledge of MLOps, data governance, and responsible AI practices, would be advantageous. While visa sponsorship is not provided for this position, applicants requiring reasonable accommodations during the application or interview process should contact the Human Resources Department.,

About the Role We are seeking a highly motivated and smart AI Intern to join our innovation-driven team. This role is ideal for someone passionate about Artificial Intelligence , with a strong academic background and a keen interest in building automation platforms using Generative AI and Agentic AI . You will work closely with our engineering and product teams to prototype and build intelligent automation systems that leverage the latest advancements in AI. Key Responsibilities Research, experiment, and implement concepts in Generative AI and/or Agentic AI Support development of automation tools and AI-driven workflows Contribute to prototype development and POCs for AI platforms Analyze large datasets and fine-tune models for performance Collaborate with cross-functional teams to align AI capabilities with business needs Document work, models, and findings in a clear and structured way Requirements CGPA 8.0 or above in Computer Science, Data Science, AI/ML, or related fields Excellent communication skills English must be above average (spoken and written) Strong understanding of Artificial Intelligence concepts Exposure to Generative AI or Agentic AI Knowledge of programming in Python and libraries such as TensorFlow, PyTorch, Transformers, LangChain, OpenAI APIs is a plus

Technology skills - Java JDK 11 and higher Java, SQL/Oracle, Spring-Boot with batch configuration Ability to understand and develop code for fixing minor bugs/issues Understands Cloud and DevOps configurations (basic understanding) Unix, shell scripts (basic understanding) Application Health check monitoring, Incident Management Problem Management using ServiceNow Good understanding of Jira/Confluence and GitHub Strong troubleshooting and problem-solving skills Strong written, verbal communication/collaboration skills and ability to manage user/vendor/customer and to work with cross functional teams Collaborate with multiple stakeholders for tech solutioning and bottlenecks removal Ability to assess the impact of production issues & escalate to relevant technology partners and get it resolved at the earliest during extremely time critical regulatory commitments Ability to operate with a limited level of direct supervision & in a time sensitive environment Preferred: Has an understanding of finance/accounting domain Preferred: Prior ECORE working experience Gen AI Tool - Copilot for productivity Mandatory Competencies Programming Language - Java - Core Java (java 8+) Database - Database Programming - SQL Programming Language - Java - Spring Framework Operating System - Operating System - Unix DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Architecture - Architectural Patterns - Microservices Beh - Communication and collaboration

Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent decisions , enabling AI to drive efficiency, innovation, and competitive advantage across multiple domains. Key Responsibilities AI Systems Architecture & Business Impact Design and develop scalable AI architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data engineering teams to align AI solutions with real-world business applications. AI Model Training, Evaluation & Performance Optimization Train AI models using supervised, unsupervised, and reinforcement learning techniques , refining them based on business insights . Define model performance metrics to ensure AI solutions deliver tangible value. Real-Time AI Applications & System Integration Work alongside software engineers and business consultants to integrate AI solutions into the applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance policies and compliance frameworks related to enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists, and IT professionals to align AI solutions with corporate objectives. Present complex AI concepts in a clear, accessible manner to both technical and non-technical stakeholders. Mandatory Qualifications & Skills Bachelor's or master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics

About this Opportunity Ericsson Research is the central research organization within Ericsson. Our mission is to provide Ericsson with system concepts, technology and methodology and to secure long-term competitive product positioning. The position is for a Senior AI Researcher/Researcher in AI Research lab located at Chennai, India. We are an international research team doing research on a range of disciplines, spanning Radio communications, Network architectures, AI, Cloud, Devices and Security. Working with AI research at Ericsson you will have opportunities to explore and pioneer in state-of-art AI methodologies and define the future of AI-Native Networks. Influencing research projects from conceptualization to implementation and delivery, youre always encouraged to propose and develop innovative, transformative ideas and methods that push the boundaries of AI-driven technologies. We offer flexible work options with open environment and a speak-up culture. What you will do Responsibilities: Advance AI research by exploring emerging techniques in Agentic AI and Reinforcement Learning, and extending the state-of-the-art to solve real-world problems in mobile communication systems. Invent and adapt AI techniques to contribute towards AI driven networks Define and develop research concepts and demonstrate the viability for adoption in products Contribute to research projects in teams with diverse talents Collaborate and coordinate with global research teams across varied competence and own responsibility for timely delivery of research modules Contribute to scientific publications and patents to enhance Ericsson’s intellectual property portfolio and reinforce its reputation as leader in AI for mobile networks. You will bring PhD degree from a top institute in India or abroad in Computer Science or related areas Experience in hands-on AI research with first author publications in leading venues. Extensive experience with state-of-the-art methods in agentic AI and large language models, particularly in optimizing planning, tool use, memory, and reflection capabilities. Familiarity with multi-agent system design is also valued. Solid understanding of Reinforcement Learning and multi-agent concepts Understanding of Radio fundamentals including L1,L2 and L3 layers and functions would be a significant positive. Demonstrated ability to work with globally distributed research teams Good communication skills and open to work in adjacent research areas Excellent coding skills Ability and willingness to learn domain specific things

#PrimarySkills #CloudSecurity #AWS #IAM #DLP #SecurityConsultant #DataEncryption #Logging #SecretsManagement #SecurityPosture #RiskAssessment #ComplianceFrameworks #SIEM #SOAR #IncidentResponse #AutomatedSecurity #AIinSecurity #RemoteJobsIndia #JobDescription We are seeking an experienced Security Consultant with 710 years of deep technical expertise across AWS security practices, posture assessment, incident response, and automation in security environments. The ideal candidate will play a key role in advising on cloud security design, conducting risk assessments, and strengthening compliance and data protection mechanisms in cloud-native environments. #KeyResponsibilities Lead cloud security strategy and implementation for AWS-based applications Conduct Security Posture Assessments, identify gaps, and define risk prioritization plans Implement and manage AWS security controls: IAM (Identity & Access Management) Network Security & Logging Data Encryption & Secrets Management Ensure adherence to compliance frameworks (ISO 27001, NIST, CIS, etc.) Implement Data Loss Prevention (DLP), Data Masking/Obfuscation solutions Drive SIEM/SOAR integration for intelligent threat detection and response Develop and maintain Incident Response plans and coordinate response activities Conduct automated security scanning and integrate into DevSecOps pipelines Provide consultation and innovation around Agentic AI applications in security #Qualifications 7+ years of hands-on experience in cloud security, with a focus on AWS Deep knowledge of IAM, encryption, secrets management, and compliance frameworks Experience with SIEM/SOAR platforms, automated scanning tools, and AI-driven security solutions Strong documentation, communication, and stakeholder collaboration skills Ability to work independently in a remote team structure Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities