Job Title

The Opportunity As an Engineering Manager on FICOs Applied AI team, you will play a pivotal role in building AI-driven capabilities that power decision automation, fraud detection, and workflow optimization across our platform. Youll lead a team of talented engineers while remaining hands-on with architecture and critical code paths. Your team designs and delivers AI-powered services, data pipelines, and runtime infrastructure that support high-stakes, production-grade use cases. Youll collaborate closely with research, product, and design to turn ambitious ideas into scalable, reliable systems that address real-world business challenges. This role blends engineering leadership with active technical engagement, ideal for someone passionate about deploying AI to solve complex, real-world problems.What Youll Contribute Lead a team of talented engineers by fostering aligned autonomy, offering technical guidance, and supporting performance and career development.Translate product and business requirements into technical roadmaps, sprint planning, and delivery schedules that align with FICOs broader AI strategy.Drive the design and implementation of cutting-edge AI solutions, overseeing Agentic workflows (e.g., tool-using agents), RAG architectures, and custom fine-tuning and evaluation frameworks to ensure high performance and reliability.Ensure high-quality code and scalable architectures for LLM-based services and workflows; dive deep into code and contribute hands-on to key features and critical fixes.Implement systems for continuous AI app evaluation, A/B testing, backtesting, and drift detection to sustain high accuracy and relevance of deployed AI features over time.Work closely with UX designers to refine user experience, partner with product teams to prioritize features, and engage with other engineering leaders to align AI capabilities across the platform.Drive engineering best practices around testing, observability, documentation, and compliance, especially in AI governance and auditability.Own service reliability and operational excellence, ensuring systems meet agreed-upon SLOs and respond well to scale and production demands. What Were Seeking10-15 years of industry experience in software, machine learning, or data engineering, with a proven track record of leading complex, large-scale projects and making strategic technical decisions.Solid experience in software engineering, with at least 2+ years in a people management or technical leadership role. Proven track record of delivering backend or data-intensive systems in production, preferably involving AI/ML. Hands-on experience with one or more of: Python, Go, Java, and familiarity with data infrastructure (e.g., Kafka, Spark, SQL/NoSQL, object stores).Strong understanding of cloud infrastructure and containerization (AWS, GCP, or Azure; Docker; Kubernetes).Experience collaborating with ML teams to productionize models or workflows (LLMs, RAG, evaluation pipelines is a plus).Comfortable working across the stack, from system architecture to API design to debugging complex production issues. Excellent communication and organizational skills, with the ability to align technical direction with product and business priorities.Passion for team building, continuous improvement, and fostering a positive, inclusive engineering culture.Strong ability to mentor and develop high-performing engineering teams, fostering collaboration across departments to deliver impactful solutions.Proven success in fast-paced, high-growth environments, with the agility to adapt and drive results in high-stakes settings.Demonstrated experience in applying Large Language Models (LLMs) to address real-world challenges effectively.Bachelors or Masters degree in Computer Science or a related field, preferably with a specialization in Machine Learning or AI.About USFICO, originally known as Fair Isaac Corporation, is a leading analytics and decision management company that empowers businesses and individuals around the world with data-driven insights. Known for pioneering the FICO Score, a standard in consumer credit risk assessment, FICO combines advanced analytics, machine learning, and sophisticated algorithms to drive smarter, faster decisions across industries. From financial services to retail, insurance, and healthcare, FICO's innovative solutions help organizations make precise decisions, reduce risk, and enhance customer experiences. With a strong commitment to ethical use of AI and data, FICO is dedicated to improving financial access and inclusivity, fostering trust, and driving growth for a digitally evolving world.