Note: The job is a remote job and is open to candidates in USA. FICO is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. As the Director of AI Engineering, you will lead innovation and strategic growth across FICO's platform, driving the application of large language models and cutting-edge AI technologies to enhance various operational aspects and optimize overall performance.
Responsibilities
- Lead, develop, and coach a high-performing engineering team by fostering a culture of aligned autonomy, clear communication, and continuous learning — while actively recruiting top talent and setting clear direction for hiring strategies
- Partner with stakeholders and product managers to understand business priorities and translate them into actionable engineering roadmaps that harness advanced AI capabilities for meaningful outcomes
- Drive the design and implementation of AI solutions — including LLM-powered decision automation, fraud detection, and process optimization — to strengthen FICO's position as a market leader
- Define best practices for model evaluation, governance, and monitoring to ensure AI systems remain accurate, reliable, secure, and compliant at scale
- Build and maintain systems for continuous model monitoring, A/B testing, backtesting, and drift detection to keep deployed models performing at their best over time
- Collaborate closely with UX designers, product teams, and engineering leaders to align AI capabilities across the platform and deliver a cohesive user experience
Skills
- Proven experience building and leading engineering teams to deliver advanced AI solutions, with deep expertise in Large Language Models and their application to decision automation, fraud detection, and process optimization
- A track record of effective leadership, coaching, and mentoring that fosters innovation, accountability, and a high-performance culture in dynamic, fast-paced environments
- Hands-on experience with model fine-tuning, in-context learning, and custom evaluation frameworks, alongside a strong command of backtesting, A/B testing, and drift detection methodologies to ensure reliable model performance in production
- Solid understanding of model monitoring, governance, and compliance practices, with a commitment to responsible AI and the ability to architect scalable, secure, AI and data-driven systems that meet rigorous production standards
- Familiarity with compliance and regulatory requirements in AI-driven decisioning environments, and a working knowledge of modern software engineering practices and design patterns
- Strong cross-functional collaboration skills, with the ability to work across departments and align engineering efforts to broader business goals
- 10–15 years of industry experience in software, machine learning, or data engineering, with a demonstrated history of leading complex, large-scale projects and applying LLMs to solve real-world challenges
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Thought leadership in AI and machine learning — through publications, patents, or open-source contributions — is a plus
Company Overview
Fair Isaac Corporation enables businesses to automate, improve, and connect decisions to enhance business performance. It is a sub-organization of FICO. It was founded in 1956, and is headquartered in Bozeman, Montana, USA, with a workforce of 1001-5000 employees. Its website is http://www.fico.com.Company H1B Sponsorship
FICO has a track record of offering H1B sponsorships, with 1 in 2026, 30 in 2025, 18 in 2024, 22 in 2023, 25 in 2022, 45 in 2021, 40 in 2020. Please note that this does not guarantee sponsorship for this specific role.