Navy Federal Credit Union is looking to enhance and scale AI adoption across the organization by developing and implementing AI-driven solutions. The role aims to leverage state-of-the-art large language models (LLMs) to solve complex business problems and build modular, reusable AI components.
Requirements
- Experience with building and configuring a foundational GenAI platform including Model Garden, LLM model curation, prompt engineering, and setting up operational Governance controls.
- Experience with creating and publishing AI Standards, Best Practices, Architecture is required.
- Proven track record of driving and coordinating use of GenAI Code Assistants (GitHub Copilot, etc.) to drive Developer Productivity initiatives across the organization 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 of unstructured data for scalable Generative-AI solutions and robust knowledge management.
- Hands-on experience leveraging advanced techniques including Retrieval Augmented Generation to drive model accuracy, minimize hallucinations, and ground the model in facts, specifically when building AI Chatbots.
- Experience with vector stores and graph databases for managing complex relationships to use in AI applications such as recommendation systems.
Responsibilities
- Provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities.
- 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.
- Lead and support enterprise developer productivity initiatives by leveraging AI-assisted coding assistants and creating chatbots for IT to drive efficiencies, navigating a complex environment with various tools and programming languages, and ensuring adoption and productivity gains across the organization.
- Design, develop and deploy AI Engineering solutions with a focus on enabling AI governance, incorporating automated ground truth validation processes, toxicity filters, and transparency measures.
- Curate, process and augment high-quality multimodal data while integrating RAG 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 significant hallucinations, and assure compliance.
Other
- As a key member of the AI Center for Enablement (C4E), provide platform, engineering, and enablement services to drive the adoption and utilization of Generative AI capabilities, fostering technological innovation and improving member experience through foundational AI capabilities.
- Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve NFCU's AI Center For Enablement capabilities.
- 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.
- Strong leadership capabilities with experience collaborating with cross functional teams and leading, and engaging teams.
- Strong communication and presentation skills to explain designs and solutions to business and technical stakeholders.
