Engineering Leader

Rational Dynamics

Engineering Leader managing multidisciplinary team building AI systems for financial industry. Overseeing AI systems delivery from prototype to production and leading engineering excellence.

Posted 6/10/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact

Lead, coach, and scale a high-performing team of engineers and scientists; initially as a line manager, with scope to manage managers as the organization grows.
Own delivery of agentic AI systems from ambiguous customer need through prototype, production deployment, evaluation, and iteration.
Stay technically hands-on through architecture reviews, build/buy decisions, agentic workflow design, eval strategy, and urgent customer-critical problem solving.
Partner with the Director of Product, Director of UX, and customer-facing teams to translate customer workflows into clear technical roadmaps.
Build operating mechanisms that help the team move fast without unnecessary process: crisp priorities, clear ownership, fast feedback loops, and disciplined execution.
Raise the engineering bar for reliability, observability, security, compliance, and deployment quality in high-consequence enterprise environments.
Recruit, develop, and retain exceptional technical talent; create a culture where engineers and scientists do their best work.
Model RD’s tenets: continuously delight customers, remove bottlenecks, disagree and commit, take ownership of every problem, prototype rapidly, and stay at the leading edge.

Requirements

What you’ll need

Significant experience leading engineering teams that ship production software in complex, ambiguous environments.
Demonstrated ability to manage strong technical ICs, including engineers and/or applied scientists.
Hands-on experience building with modern AI systems, such as: agents, RAG, tool use, workflow orchestration, evaluations, LLM applications, or adjacent systems.
Strong product and customer judgment: you can identify what customers truly need, not just what they initially ask for.
Enterprise-grade engineering instincts, including security, data boundaries, observability, deployment, and operational reliability.
Founder-like ownership: high agency, low ego, bias for action, comfort with ambiguity, and willingness to take on whatever matters most.
Clear communication and strong judgment under pressure; able to debate hard, align quickly, and execute.

Benefits

Comp & perks

Lead, coach, and scale a high-performing team of engineers and scientists
Own delivery of agentic AI systems from ambiguous customer need through prototype, production deployment, evaluation, and iteration.
Stay technically hands-on through architecture reviews, build/buy decisions, agentic workflow design, eval strategy, and urgent customer-critical problem solving.
Partner with the Director of Product, Director of UX, and customer-facing teams to translate customer workflows into clear technical roadmaps.
Build operating mechanisms that help the team move fast without unnecessary process: crisp priorities, clear ownership, fast feedback loops, and disciplined execution.
Raise the engineering bar for reliability, observability, security, compliance, and deployment quality in high-consequence enterprise environments.
Recruit, develop, and retain exceptional technical talent; create a culture where engineers and scientists do their best work.
Model RD’s tenets: continuously delight customers, remove bottlenecks, disagree and commit, take ownership of every problem, prototype rapidly, and stay at the leading edge.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI systemsagentsRAGtool useworkflow orchestrationevaluationsLLM applicationsproduction softwarearchitecture reviewsdeployment quality

Soft Skills

leadershipcoachingclear communicationstrong judgmentproblem solvingownershipcustomer judgmentbias for actioncomfort with ambiguityteam development