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Tier-1 brand, metro location, and broad AI-platform skill requirements increase candidate competition.
Highly specialized agentic AI and LLM platform expertise limits cross-industry transferability.
Explicit 12+ years, leadership and specialized AI platform requirements create strict shortlisting filters.
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Own and drive the product roadmap and delivery of AI agentic systems including orchestrator, agent fleet, consoles, dashboards, and enterprise integrations from MVP to organization-wide scale.
Build and lead distributed engineering pods in UK and India, focusing on lean teams where AI agents handle routine work and engineers handle judgment tasks, while managing hiring, retention, and career growth.
Define and establish operating standards for agent-first engineering practices, governance, and metrics to prove value and enable adoption beyond the team.
12+ years in software engineering with at least 5+ years in engineering leadership or leading engineering-led products.
Hands-on experience with modern AI including LLM-powered applications and agentic systems to production-grade quality.
Strong architectural judgment in APIs, event-driven systems, cloud platforms, and enterprise integration.
Work Experience Required: 12+ years in software engineering including 5+ years leadership experience.
Experienced leader with a proven record of shipping and scaling enterprise-grade AI or automation platforms from MVP to wide adoption.
Skilled in building and managing distributed, lean engineering teams with a focus on modern AI-first development and operational models.
Able to communicate clearly and influence executives and stakeholders with data-driven narratives on roadmap, value realization, and operational standards.