Principal AI Engineer/ AI Applied Scientist

Sorry, this job was removed at 04:11 p.m. (UTC) on Wednesday, Nov 11, 2026
Hiring Remotely in Home, PA, USA
In-Office or Remote
172K-270K Annually
Expert/Leader
Software
The Role
Designs and builds scalable, governed Generative AI systems for FICO’s decisioning platform. Responsibilities include developing LLM applications, RAG architectures, prompting and fine-tuning strategies, evaluation and backtesting frameworks, A/B testing, model monitoring, drift detection, and reliability controls. The role requires production-quality software engineering, scalable architecture design, research into emerging AI techniques, cross-functional collaboration, and mentoring. Applications span fraud investigation, decision automation, and process optimization.
Summary Generated by Built In

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity


As a Principal Applied AI Engineer on FICO’s Generative AI team, you will work at the frontier of language model applications, designing novel solutions that reach across the FICO platform, from fraud investigation and decision automation to process flow automation and optimization. You will be the architect of robust, scalable, and well-governed AI systems, ensuring they perform reliably at enterprise scale. Working alongside a dedicated team, you will apply your expertise in AI and machine learning to infuse the platform with next-generation capabilities and drive innovation that makes a meaningful, lasting impact.


What You’ll Contribute


  • 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.

What We’re Seeking


  • Extensive industry experience in software, ML or data engineering, with a history of managing complex, large-scale projects and driving strategic technical decisions.
  • In-depth knowledge and experience in fine-tuning, model adaptation, and customization.
  • Solid foundation in machine learning evaluation and testing methodologies, including the development of custom evaluation frameworks.
  • Extensive experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases
  • Strong hands-on coding in Python, Go, Java, or similar languages.
  • Experience with PyTorch, JAX or similar deep learning frameworks.
  • Knowledge of backtesting methodologies to ensure reliability and robustness of model predictions.
  • Experience with A/B testing frameworks.
  • Expertise in model monitoring, drift detection, and governance to maintain compliance and operational integrity.
  • Proven expertise in modern Large Language Models (LLMs) and their applications preferred.
  • Strong skills in prompt engineering and chain-of-thought prompting techniques.
  • 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/Master's/PhD degree in computer science, or a related field with focus in Machine Learning.

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: $171,500 to $269,500 with this range reflecting differences in candidate knowledge, skills and experience.

#LI-RR1

#LI-remote

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  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.

FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy

Skills Required

  • Extensive industry experience in software, machine learning, or data engineering, including complex large-scale projects and strategic technical decisions
  • In-depth experience with fine-tuning, model adaptation, and customization
  • Experience developing machine learning evaluation and testing methodologies, including custom evaluation frameworks
  • Extensive experience with Retrieval-Augmented Generation architectures and familiarity with vector databases
  • Strong coding skills in Python, Go, Java, or similar languages
  • Experience with PyTorch, JAX, or similar deep learning frameworks
  • Knowledge of backtesting methodologies for model prediction reliability and robustness
  • Experience with A/B testing frameworks
  • Expertise in model monitoring, drift detection, and governance
  • Expertise in modern Large Language Models and their applications
  • Strong prompt engineering and chain-of-thought prompting skills
  • Familiarity with compliance and regulatory technology, particularly AI-driven decisioning environments
  • Strong software engineering fundamentals, production-quality coding, and scalable architecture design experience
  • Ability to mentor teams and collaborate across departments
  • Ability to adapt and drive impact in fast-paced, high-growth, high-stakes environments
  • Publications, patents, or open-source contributions demonstrating AI and machine learning expertise
  • Bachelor’s, master’s, or PhD degree in computer science or a related field focused on machine learning

FICO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about FICO and has not been reviewed or approved by FICO.

  • Leave & Time Off Breadth — Time off offerings include paid holidays, paid sick days, and PTO, with typical vacation time described in the mid‑teens to ~20 days per year. Paid maternity and paternity leave are also included, which strengthens overall leave coverage.
  • Equity Value & Accessibility — Equity-related rewards include an Employee Stock Purchase Plan with a discounted purchase feature, and broader participation in performance-based equity grants is described. These ownership programs can materially increase total rewards beyond base pay.
  • Parental & Family Support — Parental leave is described as available up to 12 weeks, alongside a Family Building Benefits Program that supports fertility, adoption, surrogacy, and related services. This adds targeted support for employees navigating parenthood and family planning.

FICO Insights

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The Company
HQ: San Jose, CA
3,751 Employees
Year Founded: 1956

What We Do

Headquartered in Silicon Valley USA, FICO® (NYSE:FICO) is a leading analytics software company, helping businesses in over 80 countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company’s groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries.

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