[Remote] Lead, AI Engineer (Dublin, CA or USA Remote)

Note: The job is a remote job and is open to candidates in USA. SavvyMoney is a San Francisco East Bay fintech company providing integrated credit score and personal finance solutions to more than 1,600 bank and credit union partners. The Lead, AI Engineer will architect and build internal AI systems while driving organization-wide adoption through reference architectures, training, champions, telemetry, policy rollout, and stakeholder engagement. This role is the most senior builder on the AI Engineering Team and manages the AI Engineer.ResponsibilitiesOwn the technical direction of every internal AI system we run, and write a large share of it yourselfDefine the reference architectures the whole company builds on — RAG pipelines, agent loops, evals, the LLM gateway, observability, and cost control — and prototype the first working version of eachShip production systems end-to-end with the AI Engineer: requirements, prototype, deploy, instrument, iterateSet the technical bar by example — code review, eval coverage, prompt-injection defense, and cost-per-outcome disciplineRun intake with business and executive stakeholders — elicit requirements, pressure-test the use case, and decide what the team builds, buys, or declinesOwn the acceptance gate: the stakeholder who requested the work confirms it in UAT before it shipsPresent outcomes to the people who fund and use them — monthly executive review, quarterly business reviews, and demos to the teams whose work changesRecruit, train, and run a network of named "AI champions" — at least one per business unit — who serve as distributed sensors and accelerators for adoptionRun the champions cadence — monthly sync, quarterly offsite, recognition tied to measured impact — and the internal community of practice that shares wins, patterns, and friction across teamsDesign and deploy a scalable AI literacy curriculum with role-specific tracks for engineering, customer success, finance, legal, sales, recruiting, and partner opsOwn build-vs-buy on training vendors and certification pathways, and grow a measurable AI-fluency baseline quarter over quarterOwn the internal AI Slack channel, monthly newsletter, quarterly town halls, and a success-story library tied to dollarized outcomes — translating complex AI concepts into narratives that land with technical and executive audiences alikeRun weekly drop-in office hours that make the AI Engineering Team's tools and support accessible to every teamIdentify recurring friction (policy ambiguity, tool gaps, integration blockers) and partner with your AI Engineer and the VP, Information Security & DevOps to remove itOwn the data: % active users by team, by tool, by roleIdentify dark spots and design targeted interventions— such as training, champion deployment, leadership nudges, or licensing changesReport adoption metrics into the monthly executive review and quarterly PSG scorecardWhen the AI Engineering Team ships an acceptable-use policy or adopts a new tool, you own getting it adopted in practice — not just publishedAdvise on which seats go where, based on adoption data and ROI signals rather than headcountExtend the champions and training model to partner ops teams where ROI clearly exceeds the cost of a custom buildCoordinate with our partner-facing teams to surface AI use cases that scale across our 1,600+ FI relationshipsSkills5+ years of professional software engineering experience, including production LLM systems you personally architected and shippedDeep hands-on proficiency in Python and cloud-native AWS development, with strong opinions on evals, cost-per-outcome, latency, and prompt-injection defenseDeep technical literacy with modern AI tools (Copilot, Cursor, Claude, Glean, ChatGPT) — you use them daily, not just demo themStrong analytical mindset with experience defining adoption metrics, instrumenting telemetry, and reporting to executive audiencesExcellent written and verbal communication — you can run a requirements session with a business team and present the outcome to the executive team in the same weekDemonstrated success driving organization-wide behavior change and running a champions network or community of practice at scale (500+ employees)Comfort working cross-functionally with engineering, legal, security, HR, and business leadershipFintech, lending, or financial services backgroundPrior experience in InfoSec, DevOps, or a regulated-industry technical function — the policy-and-telemetry muscle translates directlyPE-portfolio company experienceExperience with AI governance frameworks (NIST AI RMF, ISO 42001, or equivalent)Bachelor's degree in a relevant field, or compelling self-taught equivalentBenefitsEquity Compensation PackageFlexible Time Off (FTO) - take time off as needed to rest and recharge.Medical, Dental, Vision – 100% premium paid for employeeDisability/Life InsuranceOpportunity for learning and career growth with a top Bay Area technology companyReimbursement for remote work setupMonthly stipend for phone and internetTeam building events, culture activities, all hands eventsPaid time off to volunteer and serve the communityHalf day Fridays401k matching contributionBeautiful California East Bay offices in Dublin, CACompany OverviewSavvyMoney is a fintech platform that partners with banks to provide their customers with free credit scores and financial wellness tools. It was founded in 2009, and is headquartered in Dublin, California, USA, with a workforce of 51-200 employees. Its website is http://www.savvymoney.com. Apply To this Job