Lead AI Engineer

Join our India Tech Hub – Be among the first hires!  Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world’s most recognized brands while working alongside some of the best and brightest in loyalty.  About The Team And What We'll Build Together  Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams an LLM-native way to work with complex loyalty logic.  We're looking for a hands-on Lead AI Engineer to ship the hardest implementation work on that platform. You'll author the per-feature implementation specs that turn architectural decisions into work the team and our code agents can build against. You'll also build the load-bearing pieces yourself — the human-in-the-loop routing primitive, the reversibility-tier execution wrapper, the guardrails that make agent actions safe to deploy — and review PRs at a depth that lifts the standard for what we ship.  Our team tends to be people who reason carefully, ship working code, and pick up new tools without a lot of hand-holding. We care less about the shape of your career than whether you've built things that held up.   How We Think About AI  We're building agents for an industry — loyalty marketing — that runs on judgment. The analysts and strategists we serve know things that don't live in any database: which clients can hear which feedback, when a campaign is technically sound but commercially wrong, what a number means versus what it shows. Our agents make their judgment go further; they don't replace it.  That means we have strong views on where agents should and shouldn't act. As Lead, you turn those views into running code: which tools route to a human for approval, which run autonomously, what the refusal policies actually refuse. We're looking for someone with a considered view on cognitive offloading, the long-term effects of agent-mediated work on organizational capacity, and the discipline to build implementation safeguards that augment human judgment rather than supplant it.