Solution Architect - Ai

The Generative AI Architect will lead the design and hands-on delivery of secure, scalable, production-ready Generative AI solutions on AWS or Azure. The role combines architecture leadership with production-grade Python engineering across agentic workflows, RAG, MCP integrations, evaluation, observability, Responsible AI and cloud-native deployment. Approximately 40-50% of the role involves hands-on engineering, including proofs of concept, reusable frameworks and deployment pipelines., * Lead discovery workshops and assess Generative AI use cases based on business value, technical feasibility, data readiness, security risk, complexity and operating cost.

• Define high-level and detailed architectures for Generative AI applications on AWS, Azure or GCP, including conversational AI, enterprise search, document intelligence, copilots, content generation and workflow automation.

• Select appropriate foundation and embedding models, orchestration frameworks, vector stores, data services and deployment components.

• Build production-grade agentic workflows in Python using LangGraph and LangChain, including routing, tools, memory, checkpointing, persistence, streaming, structured outputs and human-in-the-loop controls.

• Develop reusable agent frameworks, connectors, MCP servers and clients, prompt libraries, evaluation harnesses and other accelerators for delivery teams.

• Design and build RAG and GraphRAG solutions covering ingestion, chunking, metadata, embeddings, hybrid search, reranking, grounding, citations and res ponse generation. *Implement LLM observability and evaluation using Langfuse or equivalent tools, including tracing, prompt versioning, feedback, quality metrics, token usage, latency and cost monitoring.

• Build secure agent services with FastAPI and async Python, containerize them with Docker, and deploy them using Kubernetes, serverless or managed cloud platforms.

• Establish Responsible AI, security, LLMOps and GenAIOps controls, including guardrails, automated evaluation gates, CI/CD, governance and operational monitoring.

• Lead delivery from proof of concept through production stabilization, producing architecture documentation, reviewing code, resolving technical risks, mentoring teams and communicating decisions to stakeholders.

• 3+ years of hands-on experience designing and delivering AI, machine learning or Generative AI solutions, including production deployment.

• Advanced, recent experience writing production-grade Python using async programming, typing, Pydantic, packaging, pytest and FastAPI.

• Hands-on experience building agentic systems with LangGraph and LangChain, including stateful graphs, tools, memory, checkpointing, structured outputs and human-in-the-loop controls.

• Experience using Langfuse or an equivalent platform for tracing, prompt management, evaluation, datasets, feedback and cost analytics.

• Experience building and consuming MCP servers and tools, with familiarity with A2A protocols and at least one additional agent framework.

• Demonstrated architecture experience with AWS, Microsoft Azure or Google Cloud Platform, including relevant Generative AI, integration, security, monitoring and deployment services.

• Hands-on experience with LLMs, prompt engineering, RAG, embeddings, semantic and hybrid search, reranking, grounding, citations and vector stores. GraphRAG and knowledge-graph experience is preferred.

• Experience designing secure APIs, microservices, asynchronous or event-driven integrations, and solutions using relational, NoSQL, object, search or vector data platforms.

• Hands-on knowledge of Docker, Kubernetes, serverless deployment, Infrastructure as Code, CI/CD, automated testing and LLM evaluation gates.

• Demonstrated ability to define secure, scalable and observable architectures and communicate technical decisions, risks and trade-offs to technical and executive stakeholders., BACHELOR OF COMPUTER SCIENCE

Salary Range: $120,000 - $150,000 per year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter 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.