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.
ResponsibilitiesKey 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 Technologies
- AI Agents and Agentic AI platforms
- Machine Learning platforms
- Vector databases and RAG architectures
- GPU and accelerated compute environments
- Design infrastructure supporting AI model training, inference, and deployment workloads.
- Establish AI workload lifecycle management practices.
Cloud & Infrastructure Management
- Manage 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) & Automation
- Drive 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 Management
- Ensure 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 Management
- Lead 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 Skills
AI & Machine Learning
- Azure OpenAI Service
- Azure AI Foundry
- Microsoft Copilot Studio
- AI Agents & Agentic Frameworks
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Large Language Models (LLMs)
- Machine Learning Operations (MLOps)
Cloud & Infrastructure
- Microsoft Azure
- Azure Kubernetes Service (AKS)
- Azure Landing Zones
- Azure Networking
- Azure Storage
- Azure Virtual Machines
- Hybrid Cloud Architectures
Automation & DevOps
- Bicep
- Terraform
- GitHub Enterprise
- GitHub Actions
- PowerShell
- Python
- CI/CD Pipelines
Observability & IT Operations
- ServiceNow ITOM
- Azure Monitor
- Log Analytics
- SolarWinds
- AIOps Platforms
- Performance Monitoring
- Event Management
Security & Governance is a Must have
- Microsoft Entra ID
- Azure Security Center / Defender
- Identity & Access Management
- Data Governance
- Compliance Controls
- Zero Trust Security Architecture
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 end
- 10+ 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 environments
- Must be heavily focused on Microsoft Azure Cloud technologies
- Minimum 10+ years of experience in Azure Cloud and Infrastructure Management
- Minimum 2-5 years of experience managing end-to-end operations within programming delivery environments
- Artificial Intelligence (AI) and Machine Learning skills are required and considered must-have qualifications for this role
- Strong expertise in Cloud and Infrastructure technologies is required
- Hands-on experience with Automation and DevOps practices, tools, and methodologies is required
- Candidates must demonstrate experience in designing, implementing, and supporting enterprise-scale Azure cloud solutions
- Proven ability to drive infrastructure automation and operational efficiency through DevOps and cloud-native technologies
- Preference for candidates with a strong background in cloud modernization, automation, and intelligent technology solutions
Preferred Qualifications:
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Administrator Associate
- Microsoft Certified: Security Engineer Associate
- Microsoft Certified: DevOps Engineer Expert
- HashiCorp Terraform Associate
ITIL Foundation Certification
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
- Great communication skills
#LI-CA1
#DICE
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.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline
- 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
- Experience managing large-scale enterprise cloud environments
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Administrator Associate
- Microsoft Certified: Security Engineer Associate
- Microsoft Certified: DevOps Engineer Expert
- HashiCorp Terraform Associate certification
- ITIL Foundation Certification
- Master's degree
McDermott International Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about McDermott International and has not been reviewed or approved by McDermott International.
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Leave & Time Off Breadth — U.S. materials cite a minimum of 23 PTO days and 14 paid holidays, indicating a broad leave offering. Paid time off and holidays are positioned as a comparative strength within the package.
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Parental & Family Support — Company materials indicate paid parental leave, including 10 weeks paid maternity and four weeks paid family bonding. These provisions reinforce support for families during key life events.
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Strong & Reliable Incentives — Field and offshore roles often include overtime, per diems, and project allowances that can materially increase earnings. These extras are a notable component of total compensation in project-driven roles.
McDermott International Insights
What We Do
McDermott is a premier, fully-integrated provider of engineering and construction solutions to the energy industry. Our customers trust our technology-driven approach to design and build infrastructure solutions to responsibly transport and transform oil and gas into the products the world needs today. From concept to commissioning, our expertise and comprehensive solutions deliver certainty, innovation and added value to energy projects around the world. It is called the “One McDermott Way.” Operating in over 54 countries, McDermott’s locally-focused and globally-integrated resources include approximately 40,000 employees, a diversified fleet of specialty marine construction vessels and fabrication facilities around the world. To learn more, visit www.mcdermott.com.
