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.Must be able to manage program from end to end10+ years of progressive experience in enterprise infrastructure, cloud, platform engineering, or technology operations.5+ years leading technical teams and strategic technology initiatives.Must have 3+ years of hands-on experience supporting AI, machine learning, or advanced analytics platforms.Experience managing large-scale enterprise cloud environmentsMust be heavily focused on Microsoft Azure Cloud technologiesMinimum 10+ years of experience in Azure Cloud and Infrastructure ManagementMinimum 2-5 years of experience managing end-to-end operations within programming delivery environmentsArtificial Intelligence (AI) and Machine Learning skills are required and considered must-have qualifications for this roleStrong expertise in Cloud and Infrastructure technologies is requiredHands-on experience with Automation and DevOps practices, tools, and methodologies is requiredCandidates must demonstrate experience in designing, implementing, and supporting enterprise-scale Azure cloud solutionsProven ability to drive infrastructure automation and operational efficiency through DevOps and cloud-native technologiesPreference for candidates with a strong background in cloud modernization, automation, and intelligent technology solutionsPreferred Qualifications:Microsoft Certified: Azure Solutions Architect ExpertMicrosoft Certified: Azure AI Engineer AssociateMicrosoft Certified: Azure Administrator AssociateMicrosoft Certified: Security Engineer AssociateMicrosoft Certified: DevOps Engineer ExpertHashiCorp Terraform AssociateITIL Foundation CertificationLeadership CompetenciesStrategic ThinkingTechnology Vision & InnovationExecutive CommunicationOrganizational LeadershipVendor & Stakeholder ManagementFinancial & Budget ManagementTeam Development & CoachingChange LeadershipRisk ManagementOperational ExcellenceGreat communication skills#LI-CA1#DICEKey Tasks and Responsibilities:AI Infrastructure Strategy & ArchitectureDevelop 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 EngineeringLead implementation and operations of enterprise AI platforms, including: Azure AI ServicesAzure OpenAI ServiceMicrosoft Copilot TechnologiesAI Agents and Agentic AI platformsMachine Learning platformsVector databases and RAG architecturesGPU and accelerated compute environmentsDesign infrastructure supporting AI model training, inference, and deployment workloads.Establish AI workload lifecycle management practices.Cloud & Infrastructure ManagementManage AI infrastructure across Azure and hybrid environments.Oversee provisioning, capacity planning, performance optimization, and lifecycle management.Implement Infrastructure-as-Code (IaC) using Bicep, Terraform, and automation frameworks.Ensure high availability, resilience, disaster recovery, and business continuity for AI platforms.Manage cloud consumption, cost optimization, and resource governance.AI Operations (AIOps) & AutomationDrive implementation of AIOps capabilities across infrastructure operations.Leverage observability platforms such as ServiceNow ITOM, Azure Monitor, and SolarWinds.Develop self-healing and automated remediation capabilities.Utilize AI and automation to improve operational efficiency and service delivery.Define KPIs and operational metrics for AI service management.Security, Governance & Risk ManagementEnsure AI solutions comply with cybersecurity, privacy, legal, and regulatory requirements.Partner with Information Security teams to implement secure AI architectures.Define governance frameworks for responsible AI usage.Implement controls for data protection, access management, model governance, and compliance monitoring.Conduct risk assessments and mitigation planning for AI infrastructure platforms.Leadership & People ManagementLead and mentor a team of AI infrastructure engineers and platform specialists.Foster a culture of innovation, automation, continuous improvement, and operational excellence.Develop technical talent through coaching, training, and career development.Manage vendor relationships, support contracts, and technology partnerships.Lead cross-functional project teams delivering strategic AI initiatives.Technical SkillsAI & Machine LearningAzure OpenAI ServiceAzure AI FoundryMicrosoft Copilot StudioAI Agents & Agentic FrameworksRetrieval-Augmented Generation (RAG)Vector DatabasesLarge Language Models (LLMs)Machine Learning Operations (MLOps)Cloud & InfrastructureMicrosoft AzureAzure Kubernetes Service (AKS)Azure Landing ZonesAzure NetworkingAzure StorageAzure Virtual MachinesHybrid Cloud ArchitecturesAutomation & DevOpsBicepTerraformGitHub EnterpriseGitHub ActionsPowerShellPythonCI/CD PipelinesObservability & IT OperationsServiceNow ITOMAzure MonitorLog AnalyticsSolarWindsAIOps PlatformsPerformance MonitoringEvent ManagementSecurity & Governance is a Must have Microsoft Entra IDAzure Security Center / DefenderIdentity & Access ManagementData GovernanceCompliance ControlsZero Trust Security ArchitectureFull timePosting Date: 2026-08-24