Salary: $130,500 - 179,500 per year Requirements: • Bachelors degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics, or a related technical field. • Experience in developing and configuring a foundational Generative AI platform, including Model Garden and LLM model curation. • Proven ability to create and publish AI standards, best practices, and architecture documentation. • Demonstrated experience coordinating the use of Generative AI Code Assistants to enhance developer productivity. • Hands-on expertise in creating production-grade AI agents with industry-leading platforms such as Azure AI Foundry. • Familiarity with data platforms like Databricks and skills in organizing unstructured data for scalable Generative AI solutions. • Experience using advanced techniques such as Retrieval Augmented Generation for chatbot accuracy and fact grounding. • Knowledge of vector stores and graph databases for managing complex relationships in AI applications. • Deep understanding of Azure AI/Data solutions and a proven track record in API integrations for LLM access. • Strong leadership skills with the ability to collaborate and engage with cross-functional teams. • Working knowledge of Scaled Agile methodologies, Azure DevOps, and CI/CD principles. • Excellent communication and presentation skills for articulating designs and solutions to both business and technical stakeholders. • Proficiency in Python and SQL is essential. Responsibilities: • Serve as a key member of the AI Center for Enablement, delivering platform engineering and enablement services to support Generative AI adoption. • Develop and implement AI standards and best practices, while establishing processes for curating AI models in compliance with regulations. • Create and disseminate technology roadmaps for AI/ML capabilities that align with business objectives. • Collaborate with senior leadership to shape the strategic direction of NFCUs AI Center for Enablement. • Lead initiatives for enterprise developer productivity through AI-assisted coding and the development of IT chatbots. • Design, develop, and implement AI engineering solutions focusing on enabling AI governance and quality control measures. • Curate and enhance high-quality multimodal data in combination with Retrieval Augmented Generation for accuracy. • Develop and customize AI chatbots for NFCU domains, ensuring model outcomes comply with our standards. • Collaborate with business stakeholders to assess commercial AI solutions and provide data-driven recommendations for development. • Maintain strategic partnerships with technology providers and firms specialized in advanced analytics and NLP to enhance value outcomes. • Build expertise in GPT algorithms and essential processes for Large Language Models, including prompt engineering and interface construction. Technologies: • AI • API • Azure • CI/CD • Databricks • DevOps • Support • LLM • Python • SQL • Cloud • Copilot • GitHub • Security More: We are the Cognitive and Generative-AI Engineering team within the Enterprise Data and Information Management (EDIM) department, dedicated to crafting and deploying AI-driven solutions that facilitate and amplify AI adoption at Navy Federal Credit Union. In this crucial role within the AI Center for Enablement, we are committed to developing innovative AI systems by adapting cutting-edge large language models. Our collaborative approach involves working with various teams, including Enterprise Technology Services and Business partners, to implement effective AI solutions, thereby enhancing data science, advanced analytics, and augmented intelligence technologies throughout the organization. We pride ourselves on fostering a culture of engagement and commitment, offering a supportive work environment with competitive pay and generous benefits. last updated 10 week of 2026