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Tier-1 brand and metro location but senior, specialized agentic AI role yields medium competition.
Highly specialized agentic AI, MCP integration, and enterprise governance make cross-industry transferability low.
Multiple mandatory hands-on AI, engineering, governance, and leadership requirements create highly strict shortlisting.
Lead technical execution, architecture, and delivery of the Semantic Agent Layer as Platform Tech Lead.
Design, develop, test, and deploy autonomous Semantic Data Agents incorporating domain-specific business logic with verification and governance.
Manage an agile engineering squad, running sprints, ensuring high code quality, mentoring developers, and collaborating closely with Data Services teams.
8-10+ years in software engineering with strong hands-on coding and production experience.
2-3+ years dedicated AI engineering experience including prompt and generative/agentic AI systems.
Proficiency in Python and AI Agent frameworks (e.g., LangChain, LangGraph, Google ADK) and experience in trust engineering practices (source grounding, fact verification, HIL).
Bachelor’s degree in Computer Science, IT, AI, or related quantitative field.
Experienced in leading agile engineering teams with technical hands-on leadership and sprint management.
Strong expertise in AI-first development including generative AI tools for accelerating delivery and quality.
Deep understanding of semantic modeling, domain-driven design, enterprise AI architecture, and integration with MCP and trusted data platforms.