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Tier-1 brand and metro location but specialized agentic AI skills reduce applicant density.
Highly specialized agentic AI, LLM integration, and enterprise workflow experience limits cross-industry transferability.
Explicit 6+ years, mandatory Python and LLM integration, and architecture ownership increase filtering.
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Own the end-to-end agentification roadmap for a specific business domain, prioritizing automation opportunities by ROI and dependencies.
Design and set architecture standards for agent ecosystems including topology, escalation logic, data flows, and feedback loops.
Lead and grow a team of Forward Deployed Engineers (FDEs), delivering measurable business outcomes like hours saved, error reduction, and adoption rates.
6+ years of experience with demonstrated multiplier orientation (improving others' performance).
Proven ability to independently run discovery with business teams, mapping processes and defining success metrics without PM specs.
Architecture-level ownership of at least one production system including design of agent topology and tool integration.
Strong Python skills and hands-on experience integrating large language models (OpenAI, Anthropic Claude, Gemini, or similar) into production systems.
Senior technical leader who can operate across discovery, architecture design, and hands-on build & ship.
Experienced business-facing owner comfortable defining and acting on outcome metrics tied to automation impact.
Proven mentor and team builder with a track record of advancing engineers’ capabilities and driving cross-pod platform collaboration.