Manager Technology (IT)

Job Overview: McDermott is seeking an experienced Technology Manager, Artificial Intelligence Infrastructure to lead the strategy, architecture, deployment, governance, and operations of enterprise AI infrastructure platforms and services. This role will be responsible for building and managing the foundational technologies that enable artificial intelligence, machine learning, generative AI, intelligent automation, and AI-driven operations across the organization. The successful candidate will work closely with Infrastructure, Cloud, Security, Data & Analytics, Enterprise Architecture, and business stakeholders to establish a secure, scalable, resilient, and cost-effective AI ecosystem that supports current and future business objectives. This position combines technical leadership, operational excellence, and strategic planning to accelerate McDermott's AI transformation journey. Our ingenuity fuels daily life. Together, we've forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably. For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries. Essential Qualifications and Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline. Master's degree preferred.10+ years of progressive experience in enterprise infrastructure, cloud, platform engineering, or technology operations.5+ years leading technical teams and strategic technology initiatives.3+ years of hands-on experience supporting AI, machine learning, or advanced analytics platforms.10+ years with Azure Cloud and infrastructure management 3-5 years AI experience with operating in program delivery end to end Experience managing large-scale enterprise cloud environments. Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure AI Engineer AssociateMicrosoft Certified: Azure Administrator AssociateMicrosoft Certified: Security Engineer AssociateMicrosoft Certified: DevOps Engineer ExpertHashiCorp Terraform AssociateITIL Foundation Certification Great communication skills Leadership Competencies Strategic Thinking Technology Vision & Innovation Executive Communication Organizational Leadership Vendor & Stakeholder Management Financial & Budget Management Team Development & Coaching Change Leadership Risk Management Operational Excellence#LI-CA1#DICEKey Tasks and Responsibilities: AI Infrastructure Strategy & Architecture Develop and execute the enterprise AI infrastructure roadmap aligned with business and technology objectives. Design and oversee scalable AI platform architectures across on-premises, hybrid, and cloud environments. Establish standards, governance, and best practices for AI infrastructure services. Collaborate with Enterprise Architecture and Security teams to ensure compliance and alignment with corporate technology standards. Evaluate emerging AI technologies and identify opportunities for adoption. AI Platform Engineering Lead implementation and operations of enterprise AI platforms, including: Azure AI Services Azure OpenAI Service Microsoft Copilot TechnologiesAI Agents and Agentic AI platforms Machine Learning platforms Vector databases and RAG architecturesGPU and accelerated compute environments Design infrastructure supporting AI model training, inference, and deployment workloads. Establish AI workload lifecycle management practices.