Sr. Manager Engineering (Generative AI)

A Fortune Top 50 financial services company is seeking a highly motivated Sr. Manager Engineering (Generative AI) to work hybrid for our client in Vienna, VA.

Responsibilities:

• Lead the Enterprise AI Center for Enablement and ensure its services and deliverables align with the 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 the client'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 value outcomes

Qualifications:

• Bachelor's Degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics 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 in executing on strategic AI initiatives and aligning foundational AI capabilities with the organization's overall strategic goals and transformation objectives


• 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


• 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 skill in applying innovative approaches to solving technical design issues


• Solid experience with Python and SQL required


• Expert verbal, interpersonal and written communication skills

Desired Skills:

• Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field


• Expert knowledge of the client's products, services, programs, policies and procedures


• Experience in advanced AI/ML technologies


• Experience building and supporting Enterprise grade APIs


• Expert knowledge of banking/financial industry trends, products, and services


• Experience working in an AI Center for Enablement