Senior Manager, AI Engineering

Overview

The Senior Manager of AI Engineering is a leader within the Enterprise Data and Information Management (EDIM) organization, responsible for shaping and executing Navy Federal Credit Union's enterprise strategy for all aspects of AI including Generative AI, Agentic AI, data science, advanced analytics, and applied artificial intelligence (AI). This key role leads the AI Center for Enablement, driving innovation, operational excellence, and the development of scalable AI capabilities. The Senior Manager plays a pivotal role in fostering a culture of AI-as-a-service, enabling business units to harness AI technologies effectively and realize measurable value from AI investments.

In collaboration with business stakeholders, technology partners, and cross-functional teams, the Senior Manager oversees the design and implementation of an enterprise AI platform, ensuring alignment with strategic goals and governance standards. This leader brings broad and deep expertise in advanced AI technologies such as Machine Learning, Natural Language Processing, Generative AI and Agentic AI, and is responsible for identifying emerging trends, guiding technology adoption, and transitioning AI solutions from incubation to enterprise-wide deployment. The Senior Manager serves as a catalyst for innovation, talent development, and cross-functional collaboration across the organization.

Talent Quest

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Responsibilities

• Lead Enterprise AI Center for Enablement and ensure its services and deliverables align with NFCU's overall strategic goals and Agentic Transformation program objectives.
• Lead delivery of AI Foundational Technology Platforms, AI Product Engineering, and AI Operations services.
• Partner with senior EDIM, technology product, and engineering leaders to shape and contribute to the strategic goals and direction needed to continuously evolve NFCU's AI Center For Enablement capabilities.
• Lead/Conduct technology strategy and roadmap development efforts to drive business unit Data and AI modernization efforts.
• Collaborate with Enterprise Architecture, Cloud Native Engineering, and Microsoft support to build and operationalize AI Anchor Platform as a Service, comprising Model Garden and Control Plane by leveraging Azure and OpenAI technologies.
• Manage AI Engineering and Operations teams, fostering continuous upskilling to enable the design, deployment, and scaling of Generative-AI solutions that boost efficiency and spur innovation.
• Oversee AI standards, best practices, and establish guardrails to ensure secure, ethical, and responsible AI principles are integral to the solutions.

• Ensure consistent application of broader EDIM standards and best practices while planning, developing, reviewing, and enforcing enterprise architectural standards.

• Coordinate the implementation of AI Operational Governance controls by collaborating with the AI Strategy team, AI Working Group, Model Risk Management, and Cyber Security teams to ensure secure AI practices, enhance explainability, and maintain comprehensive audit tracking.
• Support machine-ready Knowledge Management Engineering efforts and drive AI accuracy by implementing measurable data quality metrics and establishing advanced domain adaptation techniques like advanced RAG to meet business needs.
• Drive and enable AI products, including Developer Productivity Tools, across the organization with a high degree of adoption and capture metrics to measure their impact.
• Manage and coach the AI Engineering and AI Operations teams, fostering a collaborative and high-performance work environment to drive continuous improvement.
• Assist with leading the formation of cross organizational "communities of practice" to enable federated development activities for AI driven process efficiencies.
• Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive NFCU value outcomes.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Data Analytics, or related technical field.
• Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization.
• Strong technical skills in AI technologies, including experience with Azure and OpenAI familiarity with building and operationalizing AI platforms equipped with Model Garden and Control Plane, and Agentic AI.
• Experience implementing Agentic AI integration capabilities include A2A and MCP.
• Experience in executing on strategic AI initiatives and aligning foundational AI capabilities with the organization's overall strategic goals and transformation objectives.
• Experience in designing and implementing security frameworks for Agentic and Generative AI capabilities including Identity and Access Management for autonomous AI agents.
• Extensive experience with system architecture in a service-oriented and enterprise service business environment, focusing on designing and implementing scalable, reliable, and efficient systems.
• Extensive experience in building a Knowledge Base for AI, cloud migration and engineering cloud centric environments.
• Experience supporting AI Operations, observability and incident management.
• Extensive experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD.
• Expert knowledge of project lifecycles and management methodologies.
• Expert knowledge of engineering principles, practices, and theories, and methods to identify and solve the highest complex problems and perform sophisticated analyses.
• Expert knowledge and understanding of the end-to-end IT process, including architecture, design & engineering, implementation, and operations, ensuring seamless integration and optimal delivery across all stages.
• Experience in financial planning and analysis, encompassing comprehensive cost allocation, continuous budget oversight, and strategic scenario modeling.
• Proven expertise in managing vendor relationships for Statement of Work (SOW) execution, developing risk mitigation strategies, and maintaining effective communication channels to ensure successful project outcomes.
• Expert ability to communicate effectively about AI with a broad range of audiences, from sophisticated technical resources to those with little or no technical background.
• Expert problem solving, collaboration, critical thinking, team building, and presentation skills.
• Expert skill in applying innovative approaches to solving technical design issues.
• Expert verbal, interpersonal and written communication skills.

Desired Qualifications

• Master's degree in AI Engineering, Computer Science, Data Science, Data Analytics, or related technical field.
• Expert knowledge of banking/financial industry trends, products, and services.
• Experience in advanced AI/ML technologies.
• Experience building and supporting Enterprise grade APIs.

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180

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