The Cognitive and Generative-AI Engineering team is responsible for designing and implementing advanced AI systems to enhance and scale AI adoption across the organization. This role drives the AI Center for Enablement by leading AI Engineering talent and AI Operations, spurring innovation, attracting top talent, and fostering collaboration with business partners, Enterprise Technology Services, Enterprise AI Strategy, the AI Working Group, and external technology partners. Additionally, this person will operationalize an Enterprise AI Anchor Platform, nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments.
Requirements
- 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 with delivering AI solutions that accelerate productivity.
- 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.
- Solid experience with Python and SQL required.
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.
- 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.
- 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.
Other
- 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.
- Experience in executing on strategic AI initiatives and aligning foundational AI capabilities with the organization's overall strategic goals and transformation objectives.
- 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.
