Principal AI Engineer (Agentic AI)

Navy Federal Credit Union; Vienna (VA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Navy Federal Credit Union is seeking a Principal AI Engineer to lead end‑to‑end production AI capabilities, spanning architecture, implementation, deployment, and operational readiness. You will translate complex technical work into clear executive narratives and collaborate across Enterprise Technology Services and business partners.

The role focuses on scalable AI platforms, LLM workflows, and responsible AI practices, with opportunities to define patterns, governance, and reusable components

Qualifications

• Bachelor's degree in CS/Engineering or equivalent experience.
• 7-10 years of AI or similar experience.
• Experience with Generative AI and agent patterns (LLM workflows, RAG, safety controls).
• Proven ability to drive AI standards, reusable components, and enablement mechanisms.

Responsibilities

• Lead AI solutions from discovery to production with measurable value.
• Architect scalable AI systems including data pipelines and model training/inference.
• Ensure security, governance, and operational readiness of AI services.
• Develop executive-ready narratives and deliver to leadership.
• Mentor engineers and promote reusable AI patterns across teams.

Skills

Python

API development

CI/CD for AI

Agile/SAFe

Distributed systems

Data platforms

Vector stores/graph DB

Azure AI

Education

Bachelor's Degree in CS/Engineering

Tools

Azure AI Foundry

Databricks

Job description

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must beauthorized to work in the United States without the need for current or future sponsorship.

The Cognitive and Generative AI Engineering team is responsible for developing and implementing AI-driven solutions that enhance and scale AI adoption across Navy Federal Credit Union. The Principal AI Engineer is a senior, hands‑on technical leader responsible for end‑to‑end delivery of production‑grade AI capabilities that span architecture, implementation, deployment, and operational readiness while translating complex technical work into clear, executive‑ready narratives. This is a pivotal role in the AI Center for Enablement, leading the design and implementation of cutting‑edge AI systems. This role leverages and adapts state‑of‑the‑art large language models (LLMs) to solve complex business problems and identifies opportunities to build modular and reusable components. The incumbent will collaborate with ETS (Enterprise Technology Services) and Business partners including Enterprise Architecture, Enterprise AI Strategy, and the AI Working Group to build and drive solutions. They will provide delivery and ongoing support for NFCU's data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the successful implementation of AI initiatives across the organization. Successful candidates will exhibit excellent problem‑solving skills, effective communication and analytical skills, as well as strong leadership qualities with a proven track record of delivering measurable outcomes.

Responsibilities

• Lead delivery of AI solutions from discovery through production, ensuring predictable execution, risk management, and measurable value realization.
• Define and socialize technical delivery plans, milestones, dependencies, and release readiness criteria; proactively surface tradeoffs and decision points.
• Translate business problems into implementable designs and backlog‑ready work, maintaining alignment across engineering, security/risk, architecture, and business stakeholders.
• Architect and implement scalable AI systems, including data pipelines, model training/inference patterns, and integration into applications/services.
• Build and deploy AI solutions leveraging modern AI platforms and orchestration patterns (e.g., LLM/agent workflows, RAG, model grounding, evaluation gates, safety controls) as applicable to the use case.
• Establish and enforce strong engineering discipline: code quality, automated testing, performance tuning, observability, and operational runbooks for AI services.
• Lead by example in debugging complex issues, completing critical path implementation work, and unblocking teams through direct technical contribution.
• Develop concise, executive‑ready narratives (1-pagers, readouts, and decks) that clearly communicate: problem statement, approach, progress, risks, decisions needed, and business impact.
• Present technical strategies and delivery status to senior leadership and mixed audiences, adjusting depth while preserving accuracy and decision clarity.
• Own technical “storytelling” for major milestones (architecture approvals, governance checkpoints, production readiness) with crisp visuals and artifacts.
• Define and promote reusable patterns, components, and best practices for AI engineering to accelerate delivery across teams.
• Develop and publish AI standards/best practices and participate in model lifecycle governance (e.g., model registration/curation processes, evaluation and transparency measures).
• Contribute to technology roadmaps and guidance that standardizes delivery and improves operational resilience.
• Mentor engineers, lead design and code reviews, develop communities of practice, and systematically raise AI engineering capability across delivery teams.
• Demonstrates end‑to‑end accountability for the strategy, architecture, standards, roadmap, adoption, and operational maturity of an assigned technical domain. Serves as the organization’s recognized subject‑matter authority while ensuring the domain’s capabilities are reusable, measurable, governed, and effectively adopted across delivery teams.
• Complete work with minimal supervision.

Qualifications

• 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 (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.) 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.

Hours:

• Monday - Friday, 8:00AM - 4:30PM

Accommodations:

If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at [e-mail] or by calling 1-888-503-6013 . This team cannot provide any information on job postings or application status.

Disclaimers:

Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Bank Secrecy Act:

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

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• Computerworld® Best Places to Work in IT 2026
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• Newsweek Most Trustworthy Companies in America 2026
• Military Times 2025 Best for Vets Employers
• Forbes® 2026 America’s Best Large Employers
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• 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
• Military.com Top Military Spouse Employers 2025
• 2026 Handshake Early Talent Award
• Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Job Info

• Job Identification 31189
• Job Category Data Engineering (AI/ML/NLP)
• Degree Level No Formal Education
• Job Schedule Full time
• Job Shift Regular Hours
• Targeted Salary Range Negotiable based on experience and qualifications.