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.

Key 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

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