Senior Director – AI Engineering
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Job Description
Director of AI Engineering leading innovation and strategic growth across FICO's platform. Working at the forefront of Generative AI efforts enhancing fraud detection and decision automation.
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.
Requirements:
- 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.
- Thought leadership in AI and machine learning — through publications, patents, or open-source contributions — is a plus.
- 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.
Benefits:
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- 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.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
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