<p>Hands-on expertise with:</p> <p>Large Language Models (LLMs) and agent frameworks (LangChain, CrewAI, AutoGen, or similar)</p> <p>RAG (Retrieval-Augmented Generation) architectures and vector databases</p> <p>Prompt engineering and tool integration using APIs, knowledge graphs, or plugins</p> <p>Model deployment via Azure AI Foundry, AWS Bedrock, Anthropic Claude, or similar platforms</p> <p>Containerization and CI/CD pipelines for AI (Docker, Kubernetes, MLflow)</p> <p>Strong programming experience in Python and familiarity with frameworks such as PyTorch, TensorFlow, FastAPI, or Streamlit.</p> <p>Proven ability to translate business goals into AI architecture and measurable outcomes.</p> <p>Experience in Agentic AI systems, including autonomous agents, multi-agent collaboration, or AI orchestration frameworks.</p> <p>Experience building AI copilots, assistants, or domain-specific agents for enterprise functions (e.g., IT ops, HR, manufacturing, or customer support)</p> <p>Ability to work across different hyperscaler platforms such as AWS Bedrock, Azure Foundry, GCP Vertex AI etc.</p> <p>Roles & Responsibilities</p> <p>Design AI Solutions</p> <p>Design end-to-end AI architectures integrating LLMs, multi-agent frameworks, RAG pipelines, and workflow orchestration.</p> <p>Define scalable and secure architectures for Gen AI and Agentic AI applications, including prompt-driven systems, autonomous agents, and AI copilots.</p> <p>Design Intelligent modular architecture using MCP, A2A, Autogen etc.</p> <p>Lead technical evaluations and selection of models (e.g., GPT, Claude, Gemini, LLaMA, Mistral) and vector databases</p> <p>AI Strategy and Roadmap</p> <p>Develop the AI technology roadmap aligned with organizational goals and data strategy.</p> <p>Identify opportunities to embed AI across business workflows, improving efficiency, experience, and decision-making.</p> <p>Implementation and Governance</p> <p>Partner with engineering teams to operationalize AI models using LangChain, LlamaIndex, Vercel AI SDK, or similar frameworks.</p> <p>Establish guardrails for model safety, prompt reliability, and ethical AI governance.</p> <p>Define MLOps and AIOps practices for continuous improvement, monitoring, and lifecycle management of AI solutions.</p> <p>Innovation and Experimentation</p> <p>Evaluate and prototype new tools and techniques in autonomous agents, synthetic data generation, multi-modal models, and AI orchestration.</p> <p>Collaborate with product and business teams to conceptualize AI-powered assistants, copilots, and automation flows.</p> <p>Leadership and Mentorship</p> <p>Provide technical leadership to data scientists, prompt engineers, and AI developers.</p> <p>Promote a culture of innovation, experimentation, and measurable business impact through AI.</p> <p>Base Salary Range: $130,000 - $150,000 per annum</p> <p>TCS Employee Benefits Summary:</p> <p>Discretionary Annual Incentive.</p> <p>Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.</p> <p>Family Support: Maternal & Parental Leaves.</p> <p>Insurance Options: Auto & Home Insurance, Identity Theft Protection.</p> <p>Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.</p> <p>Time Off: Vacation, Time Off, Sick Leave & Holidays.</p> <p>Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance B onus, College Fund, Student Loan Refinancing.</p> <p>#LI-SV2</p> <p>#LI-KUMARAN</p>