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 As 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 Contribute Help 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 Seeking Strong 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 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. #LI-CK1 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 FICO powers decisions that help people and businesses around the world prosper. Founded in 1956, FICO has been the trusted backbone of financial decisioning for more than seven decades. We empower businesses worldwide with applied intelligence and advanced analytics to transform complex data into fair, explainable, and actionable decisions — enabling smarter outcomes, stronger customer relationships, and sustainable growth. FICO clients include more than half of the top 100 banks in the world, more than 600 personal and commercial line insurers in North America and Europe, 400+ retailers and general merchandisers, all of the 100 largest U.S. credit card issuers, and more. FICO is a global leader in analytics software, empowering businesses to make smarter, faster decisions through cutting-edge data science, machine learning, and AI. Creators of the iconic FICO® Score — the standard in credit decisioning — and recognized in both the Forrester Wave™ and Gartner® Magic Quadrant™ for its decision intelligence. FICO delivers a powerful platform built on Applied Intelligence, combining advanced analytics with explainable AI to drive transparency, reduce risk, and enable hyper-personalized customer experiences at scale. Trusted by organizations across financial services, insurance, payments, and beyond, FICO turns data into decisions that matter.

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