FICO

FICO

Sr/Lead AI Backend Data Engineering - GenAI

Work from Home, United States · Senior

Sponsorship not specified$140k-$220kDetected 30 days ago
PythonJavaGoNoSQLVector DatabasesAWSGCPAzureCloud PlatformsDockerKafkaMachine LearningSparkData EngineeringLLMsRAGA/B TestingResearchCommunicationCollaborationProblem SolvingHadoop

About the role

  • In this role, you will champion high data quality, system reliability, and stringent governance across all AI-driven initiatives, making a lasting impact on FICO's platform.

Responsibilities

  • You will design, build, and maintain scalable backend systems and data pipelines that power critical functions across our platform - from fraud investigation and decision automation to process optimization.
  • This is an opportunity to collaborate with a high-caliber team and drive meaningful innovation through your deep expertise in backend engineering and applied AI.
  • Design and deploy scalable backend systems and data pipelines that seamlessly integrate applied AI capabilities into FICO's analytics and decision management platform.
  • Build high-quality solutions for data ingestion, transformation, and storage, ensuring reliable, high-throughput data flow for real-time analytics.
  • Design and implement LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO's platform.
  • Develop sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored to high-stakes, mission-critical applications.
  • Partner with data scientists, ML engineers, and product teams to develop microservices and APIs that enable intelligent, data-driven decision-making.
  • Implement advanced monitoring, testing, and performance optimization techniques to ensure system reliability, security, and scalability.
  • Define and evolve architectural patterns that support FICO's analytics and decisioning solutions at scale.
  • Lead and mentor engineering team members, promoting best practices in software development, data engineering, AI integration, and systems design.

Requirements

  • Solid experience with testing frameworks (including A/B testing), performance optimization, and production monitoring/observability practices.

Nice to have

  • In-depth experience in backend or data engineering, with a demonstrated track record of delivering complex, large-scale production systems.
  • Hands-on experience with big data frameworks (e.g., Apache Spark, Kafka, Hadoop) and a strong understanding of both relational and NoSQL databases.
  • Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Docker and Kubernetes.

Skills

  • Strong coding skills in Python, Go, Java, or equivalent languages, with a commitment to clean, maintainable, and well-tested code.

Compensation

  • $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience.

Benefits

  • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
  • You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

Company info

  • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
  • An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
  • An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

Visa & Work Authorization

  • candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status

This listing is sourced directly from FICO's careers page and normalized into a canonical job model.