Principal AI Engineer – AI Applied Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $171.5k - $269.5k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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FICO

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1956

💼 Consulting

🛡️ Insurance

🏥 Healthcare

Consulting • Insurance • Healthcare

FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.

📋 Description

• Design and implement LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO’s platform • Develop prompting strategies and Retrieval-Augmented Generation (RAG) architectures for high-stakes applications • Apply fine-tuning, in-context learning techniques, and custom evaluation frameworks to optimize AI model performance • Build model evaluation and governance systems for compliance and reliability • Design and execute backtesting methodologies to validate model predictions and performance • Implement A/B testing frameworks to evaluate AI interventions • Monitor model performance and detect drift • Research and integrate the latest AI techniques • Evaluate new models, architectures, and training approaches • Develop custom RAG implementations to enhance information retrieval • Write production-quality, scalable, reliable, and secure machine-learning systems • Design scalable architectures supporting FICO’s analytics and decisioning solutions • Implement monitoring techniques and system reliability checks

🎯 Requirements

• Extensive industry experience in software, ML or data engineering • History of managing complex, large-scale projects and driving strategic technical decisions • In-depth knowledge and experience in fine-tuning, model adaptation, and customization • Experience with machine learning evaluation and testing methodologies, including custom evaluation frameworks • Extensive experience with Retrieval-Augmented Generation (RAG) architectures • 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 • Experience with A/B testing frameworks • Expertise in model monitoring, drift detection, and governance • 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, production-quality coding, and scalable architecture design • Ability to mentor teams and collaborate across departments • Experience in fast-paced, high-growth, high-stakes environments • Publications, patents, or open-source contributions demonstrating 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

🏖️ Benefits

• Inclusive culture reflecting core values • Professional development and valuable learning experiences • Competitive compensation, benefits and rewards programs • Work/life balance • Employee resource groups • Social events • Employment and advancement opportunities without regard to protected characteristics

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