Director - Tech Architecture at TIAA in Pune

Job description

Dir - Enterprise Architecture - IN The role is responsible for aligning the overall technology strategy and solutions with the business goals and objectives of the organization. They focus on the holistic view of the enterprise, considering various aspects such as business processes, information systems, applications, data management, and technology infrastructure. Key Responsibilities and Duties Their main role is to design and maintain the architecture that enables the organization to meet its strategic objectives. They work closely with stakeholders, including business leaders, IT teams, and solution architects, to ensure that technology initiatives are inline with the organization's overall vision. Educational Requirements University (Degree) Preferred Work Experience 8+ Years Required; 10+ Years Preferred Physical Requirements Physical Requirements: Sedentary Work Career Level 10IC About the Role We're looking for a Senior AI Developer to build and ship production-grade agentic and RAG-based AI systems. This is a hands-on engineering role: most of your time is spent writing code, designing agent workflows, and getting features into production. You'll also help set technical direction and mentor others along the way. You'll work closely with product, data, and engineering teams to turn messy, real-world problems into reliable, scalable AI solutions. Key Responsibilities Design, build, and deploy LLM-powered agentic systems and RAG pipelines into production. Build multi-agent and tool-using workflows using frameworks like LangChain and LangGraph. Develop RAG pipelines: retrieval, chunking, embeddings, vector search, and evaluation. Work with agent interoperability and tooling standards such as A2A (Agent-to-Agent) and MCP (Model Context Protocol). Build and expose backend services and APIs using Python (FastAPI or Flask). Deploy and operate agents in production (we use Amazon Strands and AgentCore for build and deployment). Set up practical evaluation and monitoring for agents and RAG quality, latency, and cost. Write clean, well-tested, maintainable code and give thoughtful code reviews. Mentor other developers through pairing, reviews, and knowledge sharing. Partner with product and stakeholders to translate requirements into working solutions. Qualifications - Required Strong Python skills and experience building backend services with FastAPI or Flask. Hands-on experience building LLM applications — prompt design, RAG, or agent workflows. Experience with an agent/LLM framework such as LangChain or LangGraph (or a willingness to ramp up quickly if you've used similar tools). Experience with MCP (Model Context Protocol) for tool/context integration — or closely related agent-tooling experience and the ability to pick it up quickly. Experience with Docker and containerized deployments. Experience deploying applications to production and keeping them running (serving, basic monitoring, debugging). Comfortable with a cloud platform (AWS preferred, since our stack is AWS-based). Solid fundamentals with version control (Git), testing, and CI/CD. Good communication and a collaborative, team-first approach. Qualifications - Nice to Have Experience with vector databases (e.g. pgvector, OpenSearch). Exposure to A2A, Amazon Strands, or AgentCore — or similar agent/deployment tooling. Familiarity with evaluation and observability for LLM apps (e.g., LangSmith). Awareness of responsible AI practices: privacy, security, and safe/guardrailed agents. Related Skills Application Programming Interface (API) Development/Integration, Automation, Communication, Consultative Communication, Containerization, DevOps, Enterprise Application Integration, Influence, Organizational Savviness, Problem Solving, Prototyping, Relationship Management, Scalability/Reliability, Software Development Life Cycle, Systems Design/Analysis _____________________________________________________________________________________________________ Company Overview TIAA G