FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
Come join our engineering team to build the discipline that lets AI coding agents do reliable work at scale. As agents take on more of the software lifecycle, the hard part is no longer writing code — agents generate it faster than humans can review it, so the bottleneck shifts to verification and trust. Harness Engineering exists to break that bottleneck: engineering the environment that steers agents toward correct, maintainable, well-architected output so that quality is enforced by the system, not re-audited by a person on every change. We call that environment the harness (Agent = Model + Harness). This is a hands-on management role: you will personally build harness components while leading and growing a team of harness engineers and governing the responsible use of AI across your team.
What You'll Contribute
- Personally design, build, deploy, and support components of the harness — the guides, feedback loops, guardrails, and shared context that turn raw model capability into production-grade engineering. This is a hands-on role; you will contribute code, not just direct it.
- Build and maintain feedforward guides (agent instruction files, reusable skills, architectural rules, reference docs, and codemods) and feedback sensors (custom linters, architecture-fitness tests, verification loops, and LLM-as-judge reviewers) that help agents get it right the first time and catch issues before they reach human reviewers.
- Drive adoption of AI coding agents and harness practices through hands-on enablement — pairing, office hours, and reference examples — measuring success by active usage, review time saved, and defect escape rate rather than by artifacts shipped.
- Govern responsible AI usage within your team, ensuring engineers apply AI tools appropriately, ethically, and in line with company standards, compliance requirements, and defined quality and safety thresholds.
- Own quality gating and release criteria for your team's work — defining authority boundaries for what agents may merge unaided and the escalation rules for what must route to a human.
- Run the steering loop — when agents repeat a class of mistake, ensure a control is engineered so it can't happen again — and keep repository knowledge (docs, specs, context) legible to agents, fighting drift continuously.
- Track and act on the measures that matter — cost per merged PR, time-to-merge for agent-assisted PRs, review velocity relative to PR size, defect escape rate, and agent-PR survival rate.
- Coordinate day-to-day activities and direct team members; monitor performance, and provide coaching, counseling, and motivation to maximise contribution.
- Collaborate with relevant stakeholders to attract talent, set goals, and measure and reward performance.
- Serve as a source of technical expertise, including guidance on the effective and responsible use of AI tools.
What We're Seeking
- Bachelor's/Master's in Computer Science or related discipline, or relevant experience in software design, development, and testing.
- Strong software engineering background in large, complex codebases, with genuine care for architecture, testing, and maintainability — you remain hands-on.
- Hands-on experience with AI coding agents (e.g. Claude Code, Codex, or similar) and a well-developed feel for where they succeed and fail.
- Experience building engineering tooling across a modern stack — linters and static analysis, CI/CD pipelines, containerized build/test environments, and instrumentation/observability — plus familiarity with agent instruction conventions such as AGENTS.md.
- Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work.
- A systems mindset — you'd rather fix the environment than fix one output — and the ability to encode "what good looks like" into mechanical, repeatable rules.
- Judgement about when to reach for deterministic, computational controls (type checkers, linters, structural/architecture-fitness tests) versus inferential, LLM-based ones (AI code review, LLM-as-judge) — and an understanding of the cost, speed, and reliability trade-offs between them.
- Strong people management experience with the proven ability to manage a high-performing team, including navigating the organisational change that AI adoption brings.
- Demonstrated ability to drive AI adoption within a team while governing responsible use, managing associated risks, and maintaining compliance awareness.
- Working knowledge of the security surface unique to autonomous agents — prompt injection, tool/permission scoping, sandboxed execution, and audit trails for agent actions — and how to design least-privilege guardrails around them.
- Familiarity with CI/CD pipelines, containerization (e.g. Docker, Kubernetes), and infrastructure-as-code as they relate to managing modern engineering teams.
- Excellent communication skills to articulate design, strategy, and standards across teams.
Our Offer to You
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
• Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
• Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at www.fico.com/Careers
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.
Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy