Director, Software Engineering - Agentic AI at Equinix in Bangalore Office BLS2

Job description

Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work. Job Summary Equinix Incubation builds the agentic systems that run the software delivery lifecycle end to end: a fleet of specialized AI agents, with humans directing the work and owning every gate. Someone has to own the product, the roadmap, and the team behind it. That is this role. You will lead the engineering pods that build the orchestration layer, the persona consoles, and the agents themselves, and carry the roadmap from first MVP to organization-wide scale. This is a player-coach role for a leader who can hold a product vision, an architecture, an executive audience, and a hiring plan in their head at the same time. Responsibilities Own the Product and the Roadmap Define and drive the delivery-engine roadmap: orchestrator, agent fleet, consoles, dashboards, and enterprise integrations, sequenced for value Make the build-measure-learn loop real: ship in sprints, pilot with live delivery teams, and let adoption and telemetry reshape the plan Own trade-off decisions across scope, quality, cost, and speed, and defend them with data in front of senior leadership Build and Lead the Pods Hire, grow, and retain a small, exceptional team of agent engineers, platform engineers, and delivery talent across the UK and India Run lean pods where agents do the routine work and people do the judgment work; model that way of working yourself Set a high, kind bar: clear expectations, honest feedback, and career growth in the most modern engineering discipline there is Prove the Value Own the value story: cycle time, throughput, quality, adoption, and realized business value, instrumented and reported without drama Keep the economics honest: agent cost, platform cost, and capacity unlocked, treated as first-class engineering metrics Turn pilot wins into an expansion case that finance and function leaders believe Set the Operating Standard Establish how agent-first engineering is done: evals as release gates, human-in-the-loop approvals, and responsible AI governance with InfoSec and the AI council Represent the platform in architecture and governance forums, and keep the roadmap aligned with enterprise platform and data strategy Share patterns, standards, and playbooks so other teams can adopt what your team proves What Success Looks Like The delivery engine is in daily use by live delivery teams, with measurable cycle-time and quality gains that survive finance scrutiny You have built a team people want to join, with a hiring record and retention that show it Executives trust your roadmap because what you commit to ships, and what ships gets measured The operating standards your team set are being adopted beyond your team Qualifications 12+ years in software engineering, including 5+ years leading engineering teams or engineering-led products A record of shipping and scaling platforms or products in an enterprise, from first release through adoption Hands-on fluency with modern AI: LLM-powered applications, agentic systems, and what it takes to make them production-grade Strong architectural judgment across APIs, event-driven systems, cloud platforms, and enterprise integration Proven hiring and talent development record, including building distributed teams Executive-grade communication: you can carry a room of senior stakeholders with a clear, honest narrative Preferred Qualifications Experience delivering AI or automation platforms into regulated or security-conscious enterprises Experience with agent frameworks a