[Hiring] Senior Engineer @FICO

Role Description

FICO builds the analytics and decisioning technology behind some of the highest-stakes decisions in the world economy including the FICO Score, the standard measure of consumer credit risk in the US, and FICO Platform, an API-first applied intelligence platform delivering real-time decisions across fraud detection, credit risk, regulatory compliance, marketing, and customer engagement. This is mission-critical, low-latency, heavily regulated software where auditability and controlled change are non-negotiable. This role sits at the point where that technology is being built and operated in an agentic-first way. As coding agents take on an increasing share of the software lifecycle, the engineer's role shifts from hand-writing code to directing, specifying, and verifying the output of a fleet of specialised agents.

• Collaborate with Product teams to translate early stage ideation into structured Proof of Concepts, establishing clear technical feasibility and scope.
• Produce detailed specifications and acceptance criteria that enable coding agents to generate correct, maintainable, and well-architected output, taking full ownership of the resulting code through to deployment.
• Apply rigorous quality standards to all agent generated output, ensuring it meets the same level of scrutiny as hand written code within a regulated decisioning context.
• Operate effectively within the agentic harness, utilising established guides, including AGENTS.md files, architectural rules, and reference documentation alongside automated sensors such as linters, fitness tests, verification loops, and LLM-as-judge reviewers.
• Identify the root cause of recurring agent errors and work with the harness team to implement systemic controls, ensuring the same class of failure cannot recur across the codebase.
• Maintain the accuracy and currency of repository documentation, specifications, and contextual knowledge, treating these as a shared system of record for both human engineers and agents.
• Apply focused technical judgement to architecture decisions, edge case analysis, latency and integration risk, auditability requirements, and any determination that falls outside the appropriate scope of agent autonomy.

Qualifications

• Demonstrable experience in software engineering within large, complex codebases, with a strong foundation in software architecture, testing practices, and long-term maintainability.
• Practical experience working with AI coding agents such as Claude Code, GitHub Copilot, Codex, or Cursor with a clear understanding of their capabilities, limitations, and appropriate use within a production engineering workflow.
• The technical judgement to critically evaluate agent generated output, identify subtle errors or architectural weaknesses, and make informed decisions about when to intervene in the agent workflow.
• The ability to communicate technical requirements with precision, producing specifications and definitions of done that are unambiguous, testable, and actionable by both agents and engineering colleagues.
• A disciplined approach to verification, instinctively questioning correctness, building appropriate checks and test coverage, and applying particular rigour in regulated and mission-critical delivery contexts.
• A results-oriented approach to delivery, with accountability for the quality and correctness of shipped work rather than volume of code produced.
• Familiarity with relevant technologies including Python, SQL, JavaScript/TypeScript, AWS or Azure, Kubernetes, CI/CD pipelines, ML model deployment, or real-time decisioning systems.
• Experience with spec-driven development, context engineering, or agent orchestration in a team environment is a significant advantage, as is knowledge of regulated or audited software delivery processes and controlled change management.
• A background in decisioning, credit risk, fraud detection, analytics, optimisation, or data engineering would be advantageous.
• Ability to articulate a considered approach to human-AI collaboration including delegation boundaries, human oversight, and earning autonomy through demonstrated quality.

Benefits

• 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.