Key Qualifications + Extensive AI Expertise: Proven experience in Generative AI and Agentic AI, with AI serving as a central focus of professional work—not merely a supporting component. + Leadership Experience: Minimum of 15 years of overall professional experience, including substantial people management responsibilities, such as leading managers and overseeing large teams. + Executive-Level Communication: Exceptional ability to communicate with C-suite stakeholders, influence decision-making, and present complex concepts with clarity. + Strategic Financial Oversight: Demonstrated experience in budget management, including oversight of budgets exceeding $10 million and participation in annual financial planning. + Location Requirement: Must be based in or willing to relocate to Vienna, VA, with a commitment to working on-site three days per week. + Executive Presence & Organizational Leadership: Strong executive presence with a track record of leading cross-functional teams, driving strategic initiatives, and fostering high-performance cultures. + Program Development in AI: Deep foundational knowledge in establishing and scaling AI programs, including roadmap development, stakeholder engagement, and enterprise-wide adoption strategies. + Enterprise AI Platforms: Hands-on experience with Azure AI Foundry (preferred), as well as familiarity with AWS and Google Cloud AI platforms. Should possess knowledge of agent registries and agentic capabilities. + Data Engineering Foundations: Solid understanding of data engineering principles to effectively leverage AI tools and frameworks. + AI Delivery at Scale: Proven ability to deliver enterprise-grade AI solutions, balancing innovation, productivity, and scalability. + Stakeholder Engagement: Skilled in building relationships with business stakeholders, socializing strategic roadmaps, and driving alignment across departments. + Master’s or Ph.D. in computer science, Data Science, Data Analytics, Statistics, Mathematics or related technical field. + Expert knowledge of banking/financial industry trends, products, and services. + Experience leading an AI Center for Enablement. + Experience building and supporting Enterprise grade APIs. Responsibilities: + 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 executive 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. Other Requirements: 1. Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field- advanced degree preferred. 2. 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. 3. Proven track record in designing, deploying, and scaling AI solutions—including LLMs, Agentic AI, and prompt engineering—within cloud-native, production-grade environments. 4. Deep expertise in AI platforms and technologies, including Azure OpenAI, Cognitive Services, and operationalizing AI infrastructure such as Model Garden and Control Plane. 5. Demonstrated ability to align AI strategy with enterprise transformation goals, delivering measurable business value through innovation, automation, and productivity acceleration. 6. Strong history in cloud architecture, system design, and building scalable, secure, and resilient AI platforms in service-oriented environments. 7. Experience in delivering AI augmented capabilities to generate productivity and process efficiencies (Github, CoPilot, IBM Watsonx, or similar) 8. Demonstrated ability to drive an AI Literacy program covering stakeholders at all levels in the organization by tailoring and evolving the curriculum relevantly. 9. Experience leading high-performing AI Engineering and Operations teams, fostering a culture of continuous learning, agile delivery, and technical excellence. 10. 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. 11. Practical experience applying Scaled Agile Framework (SAFe) and Agile delivery principles to manage complex AI programs, budgets, and cross-functional execution. 12. Exceptional communication and executive presentation skills, with the ability to translate complex AI concepts into strategic insights for technical and non-technical stakeholders. Pay and Benefits The pay range for this position is $200000.00 - $265000.00/yr. Health & Wellness BenefitsMedical, Dental, and Vision Insurance: Comprehensive coverage for employees and their families.Mental Health Support: Free and confidential services via the Employee Assistance Program (EAP).On-Site Healthcare: Wellness centers at main campuses offering physicals, sick visits, lab work, physical therapy, and wellness coaching.Telemedicine Access: 24/7 virtual consultations with physicians, counselors, and nutritionists. Financial & Retirement Benefits401(k) Match: Generous employer matching contributions.Defined Benefit Pension Plan: A rare and valuable retirement offering.Tuition Assistance: Reimbursement for courses, certifications, and continued education.Loan Discounts & Free Financial Advising: Available to all employees.Profit Sharing & Performance Bonuses: Based on individual and corporate achievements. Paid Time Off & LeaveVacation & Sick Leave: Generous accrual policies.11 Paid Holidays: Plus additional leave for parental, adoption, volunteer, and military service.Bereavement & Personal Days: Included in the leave package.indeed‍‍‍ Family & Lifestyle PerksAdoption Assistance & Pet Insurance: Unique offerings that go beyond standard benefits.Childcare & Entertainment Discounts: Available through internal programs.Employee Discounts & Social Events: Including gym memberships and company-sponsored activities. ‍ Professional DevelopmentAward-Winning Training Programs: Structured onboarding and upskilling initiatives.Career Advancement Support: Includes mentoring, coaching, and internal mobility. Workplace Type This is a hybrid position in Vienna,VA. Application Deadline This position is anticipated to close on Sep 15, 2025. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.