Lead Software Engineer, AI Platform

• Turn a promising AI foundation into a capability Root teams can count on by leading delivery of shared services, tools, deployment patterns, and operational practices.
• Set quarterly technical priorities that balance today’s user needs with the foundational investments that unlock tomorrow’s products and workflows.
• Make AI easier to adopt and safer to operate by driving clear decisions on reliability, security, observability, cost, and developer experience.
• Bring the right partners together across product engineering, data, security, and platform teams to resolve dependencies before they slow delivery.
• Create reusable team patterns for architecture, testing, documentation, and production operations so good decisions scale beyond a single project.
• Grow the team’s technical capacity by coaching engineers through complex designs, delivery challenges, and the tradeoffs that matter.
• Build trust in the platform by keeping stakeholders clear on progress, risks, and the decisions that will improve outcomes.

• →5+ years as a software engineer
• →1+ years leading software teams or major technical initiatives
• →Demonstrated ability to lead team-level technical delivery and make sound decisions in partially defined problem spaces.
• →Deep experience with cloud infrastructure, preferably AWS, Terraform, and modern DevOps practices.
• →Experience designing secure, observable, reliable systems and incorporating technical investments into team roadmaps.
• →Strong understanding of AI/LLM application and platform patterns, including their operational and security implications.
• →Ability to identify cross-team dependencies, align familiar stakeholders, and improve delivery outcomes.
• →A coaching mindset and track record of helping teammates grow through complex technical work.
• →Clear written and verbal communication that drives alignment and action for a team.

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