<p>Must Have Technical/Functional Skill</p> <ul> <li>Hands on experience building ML/LLM based applications </li><li>Proven expertise with embeddings, vector databases, and retrieval pipelines </li><li>Experience designing agent workflows, prompt strategies, and orchestration </li><li>Strong Python skills with frameworks like LangChain, LlamaIndex, PyTorch, etc. </li><li>CI/CD, scalable model deployment, monitoring, and lifecycle managemen </li></ul> <p>Roles & Responsibilities</p> <ul> <li>Design and deliver AI/ML, Agentic AI, and LLM-based solutions end to end </li><li>Translate business needs into scalable AI architectures and measurable outcomes </li><li>Build RAG pipelines, embeddings, vector search, and LLM orchestration workflows </li><li>Develop agentic workflows, prompt strategies, and system guardrails </li><li>Optimize AI systems for performance, cost, scalability, and reliability </li><li>Implement MLOps/CI-CD, monitoring, drift detection, and lifecycle management </li><li>Ensure production-grade data pipelines with validation, lineage, and reproducibility </li><li>Mentor engineers and drive responsible AI governance and architecture decisions </li></ul> <p>Salary Range: $120,000-$140,000 a year</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 & amp; Training Reimbursement.</p> <p>Time Off: Vacation, Time Off, Sick Leave & Holidays.</p> <p>Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</p> <p>#LI-SP1</p>