Application Development Technical Lead - Semantic & AI Agent Engineer (Data Services)

Overview We are seeking an exceptional, highly hands-on VP – Lead Semantic & AI Agent Engineer to join our technology team in Pune. In this critical technical-lead role, you will serve as the Platform Tech Lead for our newly established, dedicated Semantic Layer Squad . This is a hands-on, code-first engineering role. It is not a program management or PMO role. You will be responsible for leading the technical execution, architectural alignment, and delivery of our Semantic Agent Layer —the intelligent cognitive middleware that bridges our virtualized data products with our downstream AI Consumer and Reporting ecosystems. You will lead an agile engineering pod, run daily sprints, and collaborate closely with our core Data Services teams—specifically partnering with our Distribution Squad (who manages the underlying data virtualization, raw API exposure, and foundational MCP infrastructure) and aligning with the overall SVP Data Service Lead based in Pune. Your mission is to design, develop, and deploy autonomous Data Agents that encapsulate domain-specific business logic, rules, and governance, exposing these agents' cognitive capabilities as high-level tools via the Model Context Protocol (MCP) to enable secure, performant, and compliant Agent-to-Agent communication across our global enterprise network. A core expectation of this role is an AI-First Thinking Mindset . You will actively adopt and champion the use of generative AI tools (such as GitHub Copilot, Claude, ChatGPT, and other developer productivity assistants) to significantly accelerate software delivery, automate testing, and improve code quality within your squad, adapting seamlessly to the enterprise-approved tools available within our network.

1. Semantic Agent Engineering & Implementation (Hands-on Coding) Build Semantic Data Agents: Design, develop, test, and operate production-grade Semantic Data Agents using Google ADK, LangChain, LangGraph (or equivalent agentic frameworks). Engineer agents that encapsulate governed business meaning, analytical logic, metric definitions, policies, and domain semantics. Ensure all agent outputs are grounded in authoritative systems of record and governed semantic definitions. No unverified, non-traceable, or low-confidence information may be released to downstream agents, users, or systems without explicit Human-in-the-Loop (HIL) approval. Own the Semantic Data Layer: Translate complex business data concepts into reusable semantic assets, including certified metrics, KPIs, dimensions, hierarchies, calculation logic, thresholds, business rules, decision policies, and contextual definitions. Establish a single source of truth for business meaning that can be consistently consumed across agentic, analytical, and reporting workloads. Verification, Provenance & Trust Controls: Implement verification-by-default architectures incorporating source grounding, data lineage, confidence scoring, explainability, policy validation, and auditability. Ensure agents provide transparent reasoning, traceable evidence, and verifiable references for every business-critical conclusion, recommendation, calculation, or alert. MCP Tooling & Semantic Service Exposure: Consume and build MCP tools that expose governed business metrics, semantic knowledge, analytical reasoning, and decision-support capabilities. Design MCP interfaces that abstract underlying data complexity and provide trusted, business-aligned access patterns for downstream agents. Governance & Enterprise Readiness: Ensure semantic services can operate reliably in regulated environments requiring compliance, traceability, and reproducible outcomes. 2. Agile Squad Leadership & Sprint Execution Agile Tech Leadership: Act as the Technical Lead for the Semantic Layer Squad , taking hands-on responsibility for sprint planning, daily stand-ups, backlog grooming, and sprint execution. Code Quality & Reviews: Establish rigorous code review processes within