Assistant Vice President, Cognitive Engineering Products and Services (Gen AI)
- Vienna, VA
- Permanent
- Full-time
- Define and lead the strategic vision for Cognitive AI, Generative AI, Agentic AI, and Machine Learning capabilities, ensuring alignment with 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
- Establish enterprise-level success metrics for AI initiatives, ensuring measurable impact, high adoption, and alignment with EDIM and enterprise architecture standards
- 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. Apply Scaled Agile principles to ensure timely delivery, iterative value realization, and alignment with enterprise priorities
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field- advanced degree preferred
- 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
- 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, implementing observability frameworks, monitoring model performance in production, managing incidents, and applying automated remediation techniques to ensure reliability, scalability, and compliance of AI systems
- 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, with the ability to translate complex AI concepts into strategic insights for technical and non-technical stakeholders
- Master's or Ph.D. in computer science, Data Science, Data Analytics, Statistics, Mathematics or related technical field
- Knowledge of our client's instructions, standards, and procedures
- Expert knowledge of our client's products, services, programs, policies and procedures
- Experience leading an AI Center for Enablement
- Expert knowledge of banking/financial industry trends, products, and services
- Experience building and supporting Enterprise grade APIs