Principal AI Engineer – Agentic AI

• Develop and implement AI-driven solutions that enhance and scale AI adoption across Navy Federal Credit Union.
• Lead the design and implementation of cutting-edge AI systems using large language models to solve complex business problems.
• Collaborate with ETS and Business partners to build and drive AI solutions.
• Provide delivery and ongoing support for data science, advanced analytics, and augmented intelligence technologies.
• Exhibit excellent problem-solving skills and demonstrate strong leadership qualities with a proven track record of delivering measurable outcomes.

• Bachelor's Degree in Computer Science, Statistics, Engineering or related field, or the equivalent combination of education, training and experience.
• 7-10 years of experience in AI or similar.
• Experience with modern Generative AI and agentic patterns (e.g., LLM workflows, orchestration frameworks, RAG, grounding, evaluation, safety controls).
• Experience establishing AI standards, best practices, and scalable enablement mechanisms (reference architectures, reusable components).
• Proven track record of driving and coordinating use of GenAI Code Assistants (Git Hub 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.) and related technologies such as MCP or A2A.
• Experience with data platforms (Databricks, etc.) and organizing, cataloging and chunking of unstructured data for scalable Generative-AI solutions and robust knowledge management.
• Experience with vector stores and graph databases for managing complex relationships to use in AI applications such as recommendation systems.
• Robust experience in Azure AI/Data solutions and a deep understanding of the evolving AI landscape, with proven track record in API integrations for accessing LLMs.
• Demonstrated experience conducting threat modeling and implementing security controls for AI systems, including prompt-injection defenses, data-loss prevention, agent authorization, secure tool execution, secrets management, and adversarial testing.
• Experience operationalizing Responsible AI and model-risk requirements through technical controls, evaluation criteria, documentation, human-in-the-loop patterns, traceability, and auditable evidence.
• Advanced software engineering skills in Python and API/service development, with experience designing distributed, resilient, containerized systems and implementing automated testing
• Experience with Agile/SAFe delivery and CI/CD practices for AI solutions.
• Significant experience working with structured and unstructured data.
• Significant experience in developing sophisticated algorithms to automate processes and tasks.
• Advanced knowledge of current AI technologies and concepts.

Demonstrates expertise in developing and implementing AI-driven solutions, with a strong focus on Generative AI, data science, and advanced analytics. Proven ability to lead teams, establish AI standards, and operationalize Responsible AI practices while delivering measurable outcomes.