Job Description **Must Have Technical/Functional Skills** - 5+ years of experience in architecture or platform engineering roles involving AI, ML, or OR models. - Proficiency in Python, SQL, and container-based microservices (Flask/FastAPI/C++ server). - Experience with Snowflake (Snowpark, External Functions, Container Services) and Azure (Synapse,AKS, Data Factory, Blob). - Familiarity with LLM integration (OpenAI, Azure OpenAI, LangChain) and agentic workflows - Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications - Build and optimize data architectures to support AI/ML/OR(Operations Research) model training,evaluation and deployment - Integrate with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel) and support modular data access by multiple agentic processes - Define and implement modular microservice and containerized solutions using Docker, Kubernetes,and Snowflake Container Services. - Develop service-layer architectures (RESTful APIs, server services, and Snowpark applications) for AI/OR algorithms. - Ensure scalability, security, and performance in hybrid data environments across Snowflake, Azure Synapse, and Blob Storage. **TCS Employee Benefits Summary:** - Discretionary Annual Incentive. - Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. - Family Support: Ma ternal & Parental Leaves. - Insurance Options: Auto & Home Insurance, Identity Theft Protection. - Convenience & Professional Growth: Commute r Benefits & Certification & Training Reimbursement. - Time Off: Vacation, Time Off, Sick Leave & Holidays. - Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.