Benefits and culture
- Meaningful career development and opportunities to influence AI across the enterprise
- A collaborative, high-energy environment focused on excellence and teamwork
- Competitive pay with a comprehensive benefits package
- Awarded recognition as a top employer by multiple industry rankings, including Fortune, Computerworld, Newsweek, Forbes, and more
Responsibilities
- Own end to end delivery of AI initiatives from discovery to production, ensuring predictable execution, risk management, and measurable value
- Articulate delivery plans, milestones, dependencies, and release criteria; highlight tradeoffs and key decisions
- Convert business problems into implementable designs and backlog-ready work, aligning engineering, security, architecture, and stakeholders
- Design and build scalable AI systems, including data pipelines, training and inference workflows, and integration with applications and services
- Develop and deploy AI solutions using modern platforms and orchestrations such as LLM workflows, agent patterns, RAG, grounding, evaluation gates, and safety controls as appropriate
- Promote strong engineering discipline with code quality, automated testing, performance tuning, observability, and operational runbooks for AI services
- Demonstrate practical problem solving, tackle critical-path work, and unblock teams through direct technical contribution
- Create concise executive communications (1-pagers, readouts, decks) detailing problem statements, approach, progress, risks, required decisions, and business impact
- Present technical strategies and delivery updates to senior leadership and diverse audiences with clear, accurate messaging
- Lead technical storytelling for major milestones (architecture approvals, governance checkpoints, production readiness) using crisp visuals and artifacts
- Define and promote reusable patterns, components, and best practices to accelerate AI delivery across teams
- Develop and publish AI standards and participate in model lifecycle governance, including registration, evaluation, and transparency measures
- Contribute to roadmaps and guidance that standardize delivery and strengthen operational resilience
- Mentor engineers, conduct design and code reviews, foster communities of practice, and raise AI engineering capability across delivery teams
- Maintain end-to-end accountability for strategy, architecture, standards, roadmap, adoption, and operational maturity of the assigned technical domain as a trusted expert
- Complete work with minimal supervision
Requirements
- Bachelor’s degree in Computer Science, Statistics, Engineering or a related field, or an equivalent combination of education and experience
- 7 to 10 years of experience in AI or a related field
- Hands-on experience with modern Generative AI and agentic patterns, including LLM workflows, orchestration frameworks, RAG, grounding, evaluation, and safety controls
- Experience establishing AI standards, scalable enablement mechanisms, reference architectures, and reusable components
- Proven track record driving GenAI code assistants (for example GitHub Copilot) to boost developer productivity with measurable value
- Hands-on work building production grade AI agents using leading platforms (such as Azure AI Foundry) and related technologies like MCP or A2A
- Experience with data platforms (e.g., Databricks) and organizing unstructured data for scalable Generative AI solutions and knowledge management
- Experience with vector stores and graph databases to support AI applications such as recommendation systems
- Strong background in Azure AI and data solutions, with API integrations for accessing LLMs
- Proven ability to conduct threat modeling and implement 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 through technical controls, documentation, human-in-the-loop patterns, traceability, and auditable evidence
- Advanced Python and API/service development skills, plus experience designing distributed, resilient, containerized systems with automated testing
- Experience with Agile or SAFe delivery and CI/CD practices for AI solutions
- Extensive experience working with both structured and unstructured data
- Proven ability to develop sophisticated algorithms to automate processes and tasks
- Deep knowledge of current AI technologies and concepts
Technologies
- Azure AI Foundry
- MCP
- A2A
- Databricks
- GitHub Copilot
- Python
- Azure
- Vector stores
- Graph databases
Hours
Monday through Friday, 8:00 AM to 4:30 PM
Location
820 Follin Lane, Vienna, VA 22180
About Navy Federal
Navy Federal provides more than a job; it offers a meaningful career experience in a culture that is energized, engaged, and committed. We recognize and reward teams with highly competitive pay and generous benefits and perks. Our mission driven approach invites you to make the work you do every day meaningful.
Equal Employment Opportunity
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.
Accommodations
If you need accommodation or assistance for a qualifying condition to complete the online application or during any stage of the hiring process, contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide information on job postings or application status.
Disclaimers
Navy Federal reserves the right to fill this role at a higher or lower grade level based on business needs. An assessment may be required to compete for this position. Job postings may close early or extend longer than the anticipated closing date at the hiring team's discretion. Salaries are determined to be competitive within market ranges.
Protect Yourself from Job Scams
Navy Federal jobs are posted on our official career site, jobs.navyfederal.org and reputable job boards. We do not post jobs on social media marketplaces or unverified websites. We will never ask candidates for payment or personal financial information during the hiring process.
BANK SECRECY ACT
All team members remain cognizant of and adhere to Navy Federal policies and procedures, including Bank Secrecy Act regulations.
