Overview
The AI Engineering function in Enterprise Data and Information Management (EDIM) is responsible for delivering AI solutions to drive productivity across Navy Federal Credit Union. The Sr. AI Engineer collaborates with team members in the AI Center for Enablement leading the design and implementation of cutting-edge AI solutions. The role will deliver AI solutions collaborating with stakeholders in Enterprise Technology Services (ETS) and business partners including Enterprise Architecture, Enterprise AI Strategy, and the AI Working Group.
Successful candidates will demonstrate deep expertise in AI engineering, particularly in agent-based systems, exhibit strong leadership and communication skills, and possess a proven ability to drive innovation in a cross-functional environment. The role leverages Large Language Models (LLMs) and Agentic frameworks to build intelligent agents, and modular components to address complex business challenges. The engineer will collaborate with team members working in data science and advanced analytics to implement AI. The role will provide technical leadership and mentorship to junior engineers and ensure alignment with strategic goals.
Talent Quest
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Responsibilities
Collaborate cross-functionally to align agentic AI capabilities with business goals and drive enterprise adoption.
Define, publish, and socialize technology roadmaps for AI capabilities aligned with business outcomes and enterprise architecture.
Architect and deliver AI capabilities, foster technological innovation, and improve Member experience.
Develop agentic workflows using foundational platforms like AI Foundry, ensuring modular and scalable architecture.
Design and implement intelligent AI agents capable of reasoning, planning, and executing tasks across complex workflows.
Lead engineering efforts to scale agentic AI platforms, enabling agent orchestration and real-time decisioning.
Build agentic solutions with orchestration frameworks such as LangChain leveraging A2A (Agent to Agent), MCP (Model Context Protocol), and Memory Management.
Integrate agentic systems into web frameworks (Django or similar) for real-time decision-making and user interaction.
Design and implement API integrations for agents to access external tools, services, and data sources.
Deliver prompt engineering strategies and optimize to drive reliability and accuracy of LLM-based capabilities.
Ensure compliance and governance through automated ground truth validation, toxicity filtering, and transparency measures.
Optimize infrastructure for agentic workloads, focusing on compute, latency, and throughput.
Operationalize agentic AI systems by defining deployment, monitoring, and lifecycle management requirements.
Lead and support enterprise developer productivity initiatives by leveraging agentic capabilities in AI coding assistants.
Partner with engineers, data scientists, and product teams to shape strategic goals and direction of the AI Center for Enablement.
Partner with business stakeholders to evaluate commercial AI solutions versus custom-built options and deliver data-driven Build vs. Buy recommendations.
Collaborate with technology vendors and professional services firms specializing in AI capabilities to drive value outcomes.
Qualifications
8-10 years of relevant experience in AI, Data Science, ML and related fields.
Hands-on experience with AI Foundry or similar foundational platforms, particularly in agentic workflow design and deployment.
Hands-on experience with orchestration frameworks such as LangChain including multi-agent workflows, human-in-the-loop design, and unified observability
Experience designing and operationalizing Agentic AI platforms, including curating LLMs within a Model Garden, engineering prompts for autonomous task execution, and implementing governance frameworks to ensure safe, scalable deployment
Proficiency in leveraging advanced techniques including Retrieval Augmented Generation (RAG) to drive model accuracy, minimize hallucinations, and ground the model in facts, specifically when building AI Chatbots
Experience with document processing services such as Azure Document Intelligence to extract text and structure from documents
Experience with using vector stores and graph databases in delivering AI solutions
Experience in API integration enabling agent access to external data sources and web services.
Experience implementing MCP and A2A capabilities, including asynchronous communication and collaborative task execution.
Experience with Python, SQL, and web frameworks (Django)
Experience in setting up monitoring and observability for AI solutions
Knowledge of operational governance, including evaluation pipelines, feedback loops, and performance tracking
Experience with data platforms (Databricks, etc.) to deliver knowledge bases
Experience developing Reference Architectures and Technical Architectures for scalable AI and data platforms
Commitment to AI safety and prompt engineering optimization.
Working knowledge of Scaled Agile delivery approaches, Azure DevOps, and CI/CD
Excellent communication and presentation skills to explain designs and solutions to business and technical stakeholders
Desired Qualifications
Masters in AI Engineering, Computer Science, Data Science or related technical field.
Experience with Identity and Access Management of AI Agents.
Experience working in an AI Center for Enablement.
Experience with AIOps, Cost Scaling and model performance tuning.
Experience with Knowledge Management platforms.
Knowledge of Navy Federal Credit Union instructions, standards, and procedures.
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180
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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Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran.
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
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
REQNUMBER: 27054
