A Fortune Top 50 financial services company is seeking a highly motivated Assistant Vice President (AVP) of Engineering, Products & Services (Generative AI) for a great opportunity with their team in Vienna, VA.
*** This is a Hybrid opportunity requiring the qualified professional to work onsite at least 3 days a week. ***
Responsibilities:- Define and lead the strategic vision for Cognitive AI, Generative AI, Agentic AI, and Machine Learning capabilities, ensuring alignment with the enterprise goals and transformation initiatives
- Provide executive oversight for the AI Center for Enablement, ensuring its services, platforms, and talent strategy drive enterprise-wide AI adoption, innovation, and measurable business value
- Oversee the development and enterprise-scale implementation of AI platforms, including the AI Foundational Platform, in collaboration with Enterprise Architecture, Cloud Engineering, and external technology partners
- Partners with senior leaders across business and IT to identify high-impact AI use cases, shape technology roadmaps, and accelerate the transition of AI solutions from incubation to production
- Champion the establishment of governance frameworks that ensure the ethical, secure, and explainable use of AI technologies, working closely with Model Risk Management, Cybersecurity, and the AI Working Group
- Lead the evaluation and infusion of emerging technologies in Cognitive Sciences, LLMs, NLP, Generative AI and Agentic AI through structured research, prototyping, and enterprise roadmap development
- Build and maintain strategic partnerships with leading AI vendors, cloud providers, and consulting firms to accelerate capability development and deliver tangible outcomes for members and internal stakeholders.
- Accelerate use of AI capabilities and toolset across the enterprise delivering productivity and driving process efficiencies for the workforce
- Deliver the AI Literacy program across all organization levels in collaboration with industry partners and the Talent Development team
- Develop and scale high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, technical excellence, and cross-functional collaboration
- Enable federated AI development by supporting communities of practice and democratizing access to AI tools and services, driving process efficiencies and innovation across the organization
- Drive execution excellence by overseeing project planning, resource allocation, and budget management for AI initiatives
- 15+ years of progressive experience in AI, Data Science and Advanced Analytics including leadership of enterprise-scale Generative and Agentic AI initiatives in complex, multi-functional environments
- Bachelor’s Degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field
- Proven track record in designing, deploying, and scaling AI solutions, including LLMs, Agentic AI, and prompt engineering—within cloud-native, production-grade environments
- Deep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure such as Model Garden and Control Plane
- Demonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity acceleration
- Strong background in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environments
- Experience in delivering AI augmented capabilities to generate productivity and process efficiencies (GitHub, CoPilot, IBM Watsonx, or similar)
- Demonstrated ability to drive an AI Literacy program covering stakeholders at all levels in the organization by tailoring and evolving the curriculum relevantly
- Experience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellence
- Extensive experience with AIOps practices, including MLOps, building and managing end-to-end AI pipelines, etc.
- Practical experience applying Scaled Agile Framework (SAFe) and Agile delivery principles to manage complex AI programs, budgets, and cross-functional execution
- Exceptional communication and executive presentation skills
- Master’s or Ph.D. in computer science, Data Science, Data Analytics, Statistics, Mathematics or related technical field
- Knowledge of the client’s instructions, standards, and procedures
- Expert knowledge of banking/financial industry trends, products, and services
- Expert knowledge of the client’s products, services, programs, policies and procedures
- Experience leading an AI Center for Enablement
- Experience building and supporting Enterprise grade APIs
