Principal Enterprise Data Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design, create, implement, and maintain core harness components that direct and manage AI coding agents.

• Take ownership of and establish standardized feedforward guides, agent instruction files, reusable skills, architectural guidelines, reference documentation, and codemods.

• Create feedback sensors, including custom linters, static analysis tools, architecture fitness tests, verification loops, and LLM-as-judge reviewers.

• Manage quality gates and release criteria for agent-generated work, encompassing authority boundaries and human escalation protocols.

• Develop LLM testing frameworks and evaluation methods for the quality and safety of AI-generated outputs.

• Utilize consumer and contract testing in scenarios where the reliability of service integration is critical.

• Execute steering loops to avert recurring agent errors and uphold repository knowledge as the definitive record.

• Determine where controls are executed across pre-commit, post-integration, and continuous drift-detection phases.

• Enhance visibility into agent activities and monitor engineering and agent-PR performance metrics.

• Collaborate with product and platform teams to convert specifications and acceptance criteria into enforceable regulations.

• Offer technical guidance and mentor engineers in harness practices and the responsible use of AI tools.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science or related fields, or equivalent practical experience in software architecture, design, development, and testing.

• Extensive software engineering background with large, complex codebases.

• Solid foundation in architecture, design, testing, and maintainability.

• Practical experience with AI coding agents like Claude Code, Codex, or similar technologies.

• Proven experience in developing engineering tools across modern technology stacks, including linters, static analysis, CI/CD pipelines, containerized build/test environments, and instrumentation/observability.

• Knowledge of agent instruction conventions such as AGENTS.md.

• Familiarity with specification-driven development, context engineering, agent orchestration, fitness functions, and developer-platform collaboration.

• A systems-oriented mindset with the capability to encode quality standards into mechanical, repeatable rules.

• Sound judgment in choosing deterministic computational controls versus inferential LLM-based controls, with an understanding of cost, speed, and reliability trade-offs.

• Experience in managing quality-gating processes and establishing release criteria.

• Working knowledge of autonomous agent security, including prompt injection, tool/permission scoping, sandboxed execution, audit trails, and least-privilege guardrails.

• Familiarity with consumer/contract testing methodologies such as Pact.

• Exceptional communication skills with the ability to convey designs to architects and drive standards across teams.

🏝️ Benefits

• An inclusive culture that embodies FICO’s core values.

• Opportunities for professional development and enriching learning experiences.

• Competitive salary, benefits, and rewards programs.

• A focus on work/life balance.

• Access to employee resource groups.

• Participation in social events.

• Support for skill development and career growth.

• Equal opportunities for employment and advancement.