FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams to deliver advanced AI solutions, with a strong focus on Large Language Models and their applications in decision automation and fraud detection. Proficient in model monitoring, governance, and compliance practices, while fostering collaboration across cross-functional teams.
Highest-signal resume keywords
Leadership ExperienceLarge Language Models ExpertiseModel Monitoring and GovernanceA/B Testing and BacktestingAI Compliance Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solutions DevelopmentModel Fine-TuningIn-Context LearningCustom Evaluation FrameworksScalable AI System ArchitectureData EngineeringMachine LearningSoftware Engineering PracticesDecision AutomationFraud Detection
Soft Skills
CoachingMentoringCross-Functional Collaboration
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Data ScienceMaster's Degree in AI
Industry Keywords
AI ComplianceModel EvaluationDrift DetectionContinuous Model MonitoringEngineering Roadmaps
About the role
Key responsibilities & impact- Lead, develop, and coach a high-performing engineering team
- Recruit top talent and set direction for hiring strategies
- Drive design and implementation of AI solutions for LLM-powered decision automation, fraud detection, and process optimization
- Partner with stakeholders and product managers to translate business priorities into engineering roadmaps
- Define best practices for model evaluation, governance, and monitoring
- Build and maintain systems for continuous model monitoring, A/B testing, backtesting, and drift detection
- Collaborate with UX designers, product teams, and engineering leaders to align AI capabilities across the platform
- Set the technical vision for robust, scalable, and responsibly governed AI systems
- Deliver transformative AI solutions addressing real business challenges and advancing FICO's platform capabilities
Requirements
What you’ll need- Proven experience building and leading engineering teams delivering advanced AI solutions
- Deep expertise in Large Language Models and their application to decision automation, fraud detection, and process optimization
- 15+ years of industry experience in software, machine learning, or data engineering
- Experience leading complex, large-scale projects and applying LLMs to real-world challenges
- Effective leadership, coaching, and mentoring experience
- Hands-on experience with model fine-tuning, in-context learning, and custom evaluation frameworks
- Strong command of backtesting, A/B testing, and drift detection methodologies
- Understanding of model monitoring, governance, and compliance practices
- Ability to architect scalable, secure AI and data-driven systems
- Familiarity with AI compliance and regulatory requirements
- Working knowledge of modern software engineering practices and design patterns
- Strong cross-functional collaboration skills
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
Benefits
Comp & perks- Inclusive culture reflecting core values
- Professional development and valuable learning experiences
- Competitive compensation, benefits and rewards programs
- Work/life balance
- Employee resource groups
- Social events
- Support to develop skills and grow your career
- Equal employment and advancement opportunities