[Remote] AI Engineering - Director/Senior Director

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

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