Enterprise AI Architect

About the role

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide. ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains. Learn more about ENSCO. Position Description ENSCO is seeking an Enterprise AI Architect responsible for leading enterprise AI adoption strategy, governance, and operationalization efforts across corporate and operating environments. This role will assess current AI usage and capabilities, identify near-term opportunities and deficiencies, and develop phased strategies for AI adoption, investment, governance, and organizational enablement. The Enterprise AI Architect will work across software engineering, IT, cybersecurity, executive leadership, and operational groups to guide secure and effective implementation of AI-enabled technologies and workflows. Responsibilities include evaluation of enterprise AI platforms and tooling, development of governance and operational frameworks, alignment of stakeholder priorities, and advancement of AI-enabled software engineering and workflow modernization initiatives. This position requires both strategic leadership and strong technical credibility. The successful candidate must be capable of engaging executive leadership while also earning the trust of technical personnel through practical understanding of software engineering, enterprise architecture, AI-enabled development workflows, and secure enterprise technology deployment. Areas of focus include: Enterprise AI strategy and adoption planning AI governance and operational frameworks AI-enabled software engineering acceleration CI/CD and workflow modernization Secure enterprise generative AI deployment Agentic workflows and automation Cross-functional stakeholder alignment Enterprise tooling and platform evaluation AI education and organizational enablement *]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-69c533ce-c124-832b-910b-0c09ece1ab23-2" data-turn-id-container="request-69c533ce-c124-832b-910b-0c09ece1ab23-2" data-testid="conversation-turn-54" data-scroll-anchor="false" data-turn="assistant"> Qualifications Required Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline 10+ years of experience in software engineering, enterprise architecture, technical leadership, or enterprise technology modernization with 3 years managerial experience Demonstrated experience leading enterprise technology transformation or modernization initiatives Strong understanding of modern software development practices, enterprise architecture, and enterprise technology operations Experience evaluating, implementing, or operationalizing AI-enabled technologies in enterprise environments Experience with software engineering acceleration, CI/CD modernization, workflow automation, or developer productivity tooling Understanding of secure enterprise AI deployment, governance, cybersecurity, and compliance considerations Strong executive communication and presentation skills Demonstrated ability to lead cross-functional initiatives and build consensus across technical and business stakeholders Ability to translate emerging technologies into practical operational and business outcomes Experience with enterprise generative AI platforms and AI-assisted software engineering workflows Experience operating effectively in engineering-led organizations Must hold a CompTIA Security+ or be able to obtain one within 90 days of starting. Qualifications Desired Advanced degree in Computer Science, Engineering, Artificial Intelligence, or related technical field Experience in government contracting, transportation, defense, research, or regulated industries Experience developing enterprise technology strategy, governance, and investment roadmaps Familiarity with Enterprise AI governance Familiarity with Agentic AI systems Familiarity with AI-enabled workflow automation Familiarity with Enterprise SaaS and cloud environments Familiarity with Developer productivity platforms Familiarity with Enterprise knowledge systems Experience guiding adoption of emerging technologies in consensus-driven organizations Experience working across engineering, IT, cybersecurity, and executive leadership environments Required Certifications: See Required Skills U.S. Citizenship Required: Yes Security Clearance Required: None Employment Type: Regular Full-time Background Check Type: 7 Year Pre-Employment Dr

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