
Senior Director – AI Engineering, Applied AI
Posted Sep 15

Posted Sep 15
This is a fully remote position, open to applicants in United States.
• Lead, nurture, and mentor a high-achieving engineering team.
• Attract top talent and establish hiring strategy directions.
• Spearhead the design and deployment of AI solutions for LLM-driven decision automation, fraud detection, and process optimization.
• Collaborate with stakeholders and product managers to convert business objectives into engineering roadmaps.
• Establish best practices for model evaluation, governance, and monitoring.
• Create and uphold systems for ongoing model monitoring, A/B testing, backtesting, and drift detection.
• Work in partnership with UX designers, product teams, and engineering leaders to ensure alignment of AI capabilities across the platform.
• Define the technical vision for resilient, scalable, and responsibly governed AI systems.
• Provide transformative AI solutions that tackle real business challenges and enhance FICO's platform capabilities.
• Demonstrated experience in building and leading engineering teams that deliver advanced AI solutions.
• In-depth knowledge of Large Language Models and their application in decision automation, fraud detection, and process optimization.
• Over 15 years of industry experience in software, machine learning, or data engineering.
• Proven experience in leading complex, large-scale projects and applying LLMs to practical challenges.
• Strong leadership, coaching, and mentoring abilities.
• Practical experience in model fine-tuning, in-context learning, and developing custom evaluation frameworks.
• Proficient in backtesting, A/B testing, and drift detection methodologies.
• Knowledge of model monitoring, governance, and compliance practices.
• Capability to design scalable, secure AI and data-driven systems.
• Familiarity with AI compliance and regulatory standards.
• Proficient understanding of contemporary software engineering practices and design patterns.
• Excellent skills in cross-functional collaboration.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related discipline.
• An inclusive culture that embodies core values.
• Opportunities for professional development and meaningful learning experiences.
• Competitive salary, benefits, and rewards programs.
• Emphasis on work/life balance.
• Employee resource groups.
• Engaging social events.
• Support for skill development and career growth.
• Equal employment and advancement opportunities.
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