Staff AI Engineer (Remote) @ FICO | Jobright.ai
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FICO · 6 hours ago

Staff AI Engineer (Remote)

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Responsibilities

Design and implement cutting-edge 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 applications.
Apply advanced fine-tuning, in-context learning techniques, and custom evaluation frameworks to optimize AI model performance.
Build robust model evaluation and governance systems, ensuring compliance and reliability across applications.
Design and execute comprehensive backtesting methodologies to validate model predictions and performance.
Implement A/B testing frameworks to evaluate the impact of various AI interventions on system performance.
Monitor model performance and detect drift to maintain high accuracy and relevance over time.
Research and integrate the latest AI techniques to keep FICO’s platform at the forefront of innovation.
Evaluate new models, architectures, and training approaches, experimenting with emerging technologies to enhance platform capabilities.
Develop custom RAG implementations to enhance information retrieval within decision processes.
Write production-quality code, implementing machine learning systems with attention to scalability, reliability, and security.
Design scalable architectures that support FICO’s analytics and decisioning solutions.
Implement advanced monitoring techniques and system reliability checks to maintain operational excellence.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Large Language Models (LLMs)Machine LearningPythonRetrieval-Augmented Generation (RAG)Model MonitoringA/B TestingDeep Learning FrameworksGoJavaFine-tuningBacktesting MethodologiesPrompt EngineeringChain-of-thought PromptingCompliance KnowledgeScalable ArchitecturesPatentsMentoring SkillsCollaboration Skills

Required

5+ years of industry experience in software, ML or data engineering, with a history of managing complex, large-scale projects and driving strategic technical decisions.
Proficiency in Python, Go, Java, or similar languages.
Experience with PyTorch, JAX or similar deep learning frameworks.
Proficiency in fine-tuning, model adaptation, and customization.
Solid foundation in machine learning evaluation and testing methodologies, including the development of custom evaluation frameworks.
Knowledge of backtesting methodologies to ensure reliability and robustness of model predictions.
Strong skills in prompt engineering and chain-of-thought prompting techniques.
Experience with A/B testing frameworks.
Expertise in model monitoring, drift detection, and governance to maintain compliance and operational integrity.
Familiarity with compliance and regulatory technology, particularly in AI-driven decisioning environments.
Strong software engineering fundamentals, with experience in writing production-quality code and designing scalable architectures.
Proven ability to mentor teams and collaborate across departments to deliver high-impact solutions.
Experience in fast-paced environments, with an ability to adapt and drive impact in high-growth, high-stakes settings.
Publications, patents, or open-source contributions that showcase thought leadership and technical expertise in AI and machine learning.
Bachelor's or master's degree in computer science, or a related field with focus in Machine Learning.

Preferred

Proven expertise in applying modern Large Language Models (LLMs) and their applications to real-world problems
Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases

Benefits

Inclusive Culture
Growth and Development
Competitive Compensation and Benefits
Work-Life Balance and Community

Company

Fair Isaac Corporation enables businesses to automate, improve, and connect decisions to enhance business performance. It is a sub-organization of FICO.

H1B Sponsorship

FICO has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (14)
2022 (25)
2021 (42)
2020 (41)

Funding

Current Stage
Public Company
Total Funding
unknown
2022-11-15Acquired
2003-01-10IPO

Leadership Team

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William Lansing
CEO
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Amir Hermelin
CTO
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Company data provided by crunchbase
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