Harness Engineer, Director

FICO; United Kingdom; Remote; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Inclusive culture

Job summary

FICO seeks a Director of AI Harness Engineering to lead a regional team building the environment that steers AI-generated code toward correct, maintainable outputs. You will design harness components, guides, and verification loops, ensuring quality and compliance across the organization.

The role combines hands-on engineering with leadership, shaping engineering standards, governance, and tooling for AI-assisted development at scale.

Qualifications

• Strong software engineering background with focus on architecture, testing, and maintainability.
• Hands-on experience with AI coding agents and governance for AI-driven tooling.
• Experience building engineering tooling: linters, CI/CD pipelines, observability.

Responsibilities

• Lead a geographically distributed Harness Engineering team and set quality standards across org.
• Design, build, and evolve harness components, feeds, guides, and guardrails for AI-assisted coding.
• Establish AI governance, tests, and verification loops to ensure safe production output.
• Collaborate with engineering leaders and product management to turn specs into enforceable controls.

Job description

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 OpportunityAs a Director, AI Harness Engineering, you will lead a new internal team 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), and we're building a dedicated Harness Engineering team to own it. This is a hands-on leadership role: you will design and build harness components while leading and growing a regional team of harness engineers and setting the quality bar for AI-assisted engineering across the organization.What You’ll ContributeHelp design, build, and evolve 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 to the development, not just direct it.Build and maintain feedforward guides (agent instruction files, reusable skills, architectural rules, reference docs, and codemods) that help agents get it right the first time and drive their adoption across teams.Build feedback sensors, custom linters, structural and architecture-fitness tests, verification loops, and LLM-as-judge reviewers — that catch issues automatically before they reach human reviewers.Own AI governance for your region: define authority boundaries for what agents may merge unaided, establish LLM testing infrastructure, and ensure AI-generated output meets quality, safety, and compliance thresholds before release.Define and own cross-organizational QA and quality-gating standards, ensuring consistent, enforceable engineering practices across teams and product areas.Run the steering loop at scale when agents repeat a class of mistake, ensure a control is engineered so it cannot happen again — and treat repository knowledge (docs, specs, context) as the system of record, fighting drift continuously.Decide where each control runs in the path to production, fast checks pre-commit, moreexpensive checks post-integration, and continuous sensors that scan for drift outside the changelifecycle — keeping quality as far left as is economical.Establish observability into agent work and own the measures that matter — cost per merged PR,time-to-merge for agent-assisted PRs, review velocity relative to PR size, defect escape rate, andagent-PR survival rate — using them to direct where the team invests next.Manage, coach, and grow a geographically distributed team of harness engineers; partner withstakeholders to attract talent, set goals, and measure and reward performance.Work closely with other engineering leaders and product management to turn specifications and acceptance criteria into enforceable controls, and to align the harness with platform and delivery roadmaps.Demonstrate expertise through internal enablement, presentations, and thought leadership on agent-augmented engineering.What We’re SeekingStrong software engineering background with experience in large, complex codebases, and genuine care for architecture, testing, and maintainability - you remain hands-on.Strong consensus building skills.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.Demonstrated experience owning AI governance and cross-organizational quality standards, including establishing LLM testing infrastructure and quality gating for AI-generated artifacts.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 todesign least-privilege guardrails around them.Strong experience managing geographically distributed, high-performing engineering teams, including navigating the organizational change that AI adoption brings.Excellent communication skills to articulate design, strategy, and standards across teams.Bachelor's/Master's in Computer Science or related discipline, or relevant experience in software architecture, design, development, and testing.Ideally you be a great evangelist too – not just able to build the systems, but someone who likesgoing out to our internal user base, evangelising what we are doing, the benefits, tips and tricksetc, but also listening to them, what works and what doesn’t and bring that back to the rest of theteam.Our Offer to YouAn 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.#LI-CK1Why 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/CareersFICO 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