Fair Isaac Corporation

Sr/Lead AI Backend Data Engineering - GenAI

Fair Isaac Corporation • $140K — $220K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of backend or data engineering experience with large-scale systems.
  • Proficient in programming languages such as Python, Go, or Java.
  • Hands-on knowledge of big data technologies like Apache Spark and Kafka.
  • Familiar with cloud services (AWS, GCP, Azure) and container management (Docker, Kubernetes).
  • Experience integrating AI/ML solutions and large language models into production.
  • Understanding of Retrieval-Augmented Generation (RAG) and vector databases is preferred.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Responsibilities

  • Design and deploy scalable backend systems and data pipelines integrating AI capabilities.
  • Build solutions for data ingestion and transformation for real-time analytics.
  • Implement LLM-powered automation for fraud investigation and decision making.
  • Develop prompting strategies and RAG architectures for critical applications.
  • Collaborate with data scientists and engineers to create microservices supporting data-driven decisions.
  • Optimize distributed architectures for high-volume processing.
  • Lead and mentor engineering members on best practices in software and AI systems design.

Benefits

  • Inclusive culture reflecting core values: ownership, customer delight, respect.
  • Opportunities for professional impact and personal development.
  • Competitive compensation and rewards promoting exceptional performance.
  • People-first work environment emphasizing work/life balance and community.
  • Engagement through employee resource groups and social events.
Full Job Description
The Opportunity

As a Senior or Lead Backend Engineer on our Applied AI team, you will be at the forefront of integrating robust data engineering with next-generation AI capabilities. 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. 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. 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.

What You'll Contribute
  • 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.
  • Optimize distributed architectures and implement real-time processing frameworks to support high-volume, low-latency workloads.
  • 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.


What We're Seeking
  • In-depth experience in backend or data engineering, with a demonstrated track record of delivering complex, large-scale production systems.
  • Strong coding skills in Python, Go, Java, or equivalent languages, with a commitment to clean, maintainable, and well-tested code.
  • 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.
  • Proven ability to design, build, and maintain scalable, production-grade backend systems with a focus on reliability and performance.
  • Solid experience with testing frameworks (including A/B testing), performance optimization, and production monitoring/observability practices.
  • Demonstrated experience integrating AI/ML solutions into production systems, including working with Large Language Models (LLMs) and related techniques.
  • Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) is strongly preferred.
  • Strong problem-solving and communication skills, with the ability to mentor engineers, influence technical direction, and collaborate effectively across disciplines.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. An advanced degree is a plus but not required.


Our Offer to You
  • An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
  • The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
  • 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.
  • The targeted base pay range for this role is: $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience.


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About Fair Isaac Corporation

Fair Isaac Corporation, also known as FICO, is a data analytics company that provides credit scoring services and decision management solutions to businesses in various industries. The company was founded in 1956 and is headquartered in San Jose, California. FICO's products and services are used by banks, credit card companies, insurance companies, retailers, and other businesses to make data-driven decisions about credit risk, fraud detection, customer acquisition, and more. The company is committed to using advanced analytics and artificial intelligence to help businesses make better decisions and improve their bottom line.
Learn more about Fair Isaac Corporation
Size
3,460 employees
Market Cap
$15.2 billion
Industry
Enterprise Technology
Net Income
$267.9 million
Founded
1956
5 Year Trend
+8.1%
Revenue
$1.3 billion
NASDAQ
FICO
* Ladders Estimates

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