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

10 days ago

Remote, United StatesStaff+

Base Salary

$150k - $175k/yr

Responsibilities

Own the technical direction and personally build internal AI systems and reference architectures.
Design and ship RAG pipelines, agent loops, evaluations, an LLM gateway, observability, cost controls, and prompt-injection defenses.
Lead end-to-end delivery from requirements and prototyping through deployment, instrumentation, UAT, and iteration.
Manage the AI Engineer and set technical standards through code review, evaluation coverage, and cost-per-outcome discipline.
Run stakeholder intake, determine whether use cases should be built, bought, or declined, and present outcomes to executives and business teams.
Recruit and operate an AI champions network and community of practice across business units and partner operations.
Create role-specific AI literacy programs and manage training vendor and certification decisions.
Own AI communications, including Slack, newsletters, town halls, demos, office hours, and success-story reporting.
Track adoption telemetry by team, tool, and role, and design interventions to address adoption gaps.
Drive adoption of acceptable-use policies and new AI tools, including licensing decisions based on ROI and usage data.

5+ years of professional software engineering experience, including production LLM systems personally architected and shipped.
Deep hands-on proficiency with Python and cloud-native AWS development.
Strong knowledge of evaluations, cost-per-outcome, latency, and prompt-injection defense.
Daily technical familiarity with Copilot, Cursor, Claude, Glean, and ChatGPT.
Experience defining adoption metrics, instrumenting telemetry, and reporting to executive audiences.
Excellent written and verbal communication skills across business, technical, and executive audiences.
Demonstrated success driving organization-wide behavior change and operating a champions network or community of practice at 500+ employee scale.
Ability to work cross-functionally with engineering, legal, security, HR, and business leadership.
Preferred qualifications include fintech, lending, financial services, InfoSec, DevOps, regulated-industry, or PE-portfolio company experience.
Experience with AI governance frameworks such as NIST AI RMF or ISO 42001 is preferred.
A bachelor's degree in a relevant field or compelling self-taught equivalent is preferred.

Equity compensation package.
Flexible time off, medical, dental, and vision coverage with 100% of the employee premium paid.
Disability and life insurance, 401(k) matching, and paid time to volunteer.
Learning and career growth opportunities, team-building and culture events, and half-day Fridays.
Remote work setup reimbursement and a monthly phone and internet stipend.
Dublin, California office location; the role is available in Dublin, CA or remotely within the United States.

51-200 employees