Generative AI Engineer

Generative AI Engineer

Join the Cognitive and Generative-AI Engineering team at Navy Federal Credit Union. This team, part of the Enterprise Data and Information Management (EDIM) department, designs and implements AI‑driven solutions to enhance and scale AI adoption across the organization. The role focuses on leveraging state‑of‑the‑art large language models (LLMs) to solve complex business problems, building modular and reusable components, and collaborating with Enterprise Technology Services, Enterprise Architecture, and the AI Working Group.

The successful candidate will provide delivery and ongoing support for data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring successful AI implementation organization‑wide.

• Provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities within the AI Center for Enablement.
• Develop AI standards and best practices, and establish processes for curating and registering AI models into Model Garden, ensuring compliance with regulatory and security standards throughout the model lifecycle.
• Define, publish, and socialize technology roadmaps for AI/ML‑enabled capabilities supporting business use cases and outcomes.
• Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals for continuously evolving NFCU’s AI Center for Enablement.
• Lead and support enterprise developer productivity initiatives by leveraging AI‑assisted coding assistants and creating chatbots for IT to drive efficiencies and adoption across the organization.
• Design, develop, and deploy AI engineering solutions with a focus on governance, automated ground truth validation processes, toxicity filters, and transparency measures.
• Curate, process, and augment high‑quality multimodal data while integrating retrieval‑augmented generation for robust model grounding and improved accuracy.
• Develop AI chatbots or agents by adapting task‑oriented LLM models fine‑tuned to meet NFCU‑specific domains and evaluate model outcomes to ensure accuracy, reduce hallucinations, and assure compliance.
• Partner with business stakeholders to evaluate commercial AI solutions against custom‑built options and deliver data‑driven build‑vs‑buy recommendations that balance technical capabilities, costs, reusability, and strategic business outcomes.
• Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive NFCU value outcomes.
• Build core engineering competencies in GPT algorithms, data ingestion for large language models, prompt engineering, and NLP/Chatbot interface construction.

• Bachelor’s degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics, or a related technical field.
• Experience building and configuring a foundational GenAI platform including Model Garden, LLM curation, prompt engineering, and operational governance controls.
• Experience creating and publishing AI standards, best practices, and architecture.
• Proven track record driving and coordinating use of GenAI code assistants (e.g., Git Hub Copilot) to increase developer productivity with clear value metrics.
• Hands‑on experience building production‑grade AI agents using industry‑leading platforms (Azure AI Foundry, etc.).
• Experience with data platforms (Databricks, etc.) and organizing, cataloging, and chunking unstructured data for scalable generative‑AI solutions and knowledge management.
• Hands‑on experience leveraging retrieval‑augmented generation techniques to improve model accuracy, minimize hallucinations, and ground the model in facts, especially when building AI chatbots.
• Experience with vector stores and graph databases for managing complex relationships in AI applications such as recommendation systems.
• Robust experience in Azure AI/Data solutions and deep understanding of the evolving AI landscape, including API integrations for accessing LLMs.
• Strong leadership capabilities with…