Job Overview:
We are seeking an experienced Azure AI Specialist to lead the design, implementation, governance, and optimization of AI solutions across the enterprise. This role will focus on leveraging Microsoft Azure AI services, Azure OpenAI, Microsoft Copilot technologies, machine learning, and automation platforms to drive business value, improve operational efficiency, and accelerate digital transformation initiatives.
The ideal candidate will possess strong expertise in Azure cloud technologies, artificial intelligence, machine learning, data integration, security, and enterprise architecture. This individual will work closely with business stakeholders, infrastructure teams, security teams, and application owners to deliver scalable and secure AI solutions.
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.
Key Tasks and Responsibilities:
AI Strategy & Architecture
- Design and implement enterprise AI solutions using Microsoft Azure AI Services.
- Develop AI roadmaps aligned with business objectives and digital transformation strategies.
- Architect scalable, secure, and cost-efficient AI platforms in Azure.
- Evaluate emerging AI technologies and recommend adoption strategies.
Azure AI & Machine Learning
- Deploy and manage Azure OpenAI, Azure AI Foundry, Azure Cognitive Services, and Azure Machine Learning solutions.
- Build, train, fine-tune, and deploy machine learning models.
- Develop Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data.
- Implement prompt engineering and AI orchestration frameworks.
- Integrate AI capabilities into business applications and workflows.
Microsoft Copilot & Generative AI
- Lead implementation and governance of Microsoft Copilot and Copilot Studio initiatives.
- Develop custom Copilot agents and AI-powered assistants.
- Establish AI adoption frameworks and best practices.
- Monitor AI usage, token consumption, and business value realization.
Security, Governance & Compliance
- Establish AI governance, responsible AI practices, and security controls.
- Ensure compliance with corporate, regulatory, and data privacy requirements.
- Implement data protection, role-based access controls, and monitoring solutions.
- Conduct risk assessments and security reviews for AI deployments.
Cloud Integration & Automation
- Integrate AI services with Azure infrastructure, applications, and data platforms.
- Automate deployment processes using Infrastructure as Code (IaC).
- Develop APIs and integrations with Azure Logic Apps, Power Automate, and Azure Functions.
- Support hybrid and multi-cloud AI initiatives as needed.
Reporting & Optimization
- Monitor AI solution performance, utilization, and costs.
- Create executive dashboards and KPI reporting.
- Continuously optimize AI workloads for efficiency, scalability, and accuracy.
- Provide recommendations for capacity planning and cost management.
Essential Qualifications and Education:
- 5+ years of experience with Microsoft Azure cloud technologies.
- 3+ years of experience implementing AI, machine learning, or data science solutions.
- Experience with Azure OpenAI Service and Generative AI platforms.
- Experience designing enterprise-scale cloud architectures.
Proven experience delivering AI projects from concept through production
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Technical Skills
- Azure OpenAI Service
- Azure AI Foundry
- Azure AI Search
- Azure Machine Learning
- Azure Cognitive Services
- Microsoft Copilot Studio
- Azure Functions
- Azure Logic Apps
- Power Platform
- Python
- REST APIs
- Infrastructure as Code (Bicep, ARM, Terraform)
- Azure DevOps and GitHub
SQL and Data Analytics
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Azure Knowledge
- Azure Entra ID
- Azure Security Center / Defender for Cloud
- Azure Monitor and Log Analytics
- Azure Storage
- Azure Networking
Azure Kubernetes Service (AKS) preferred
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Preferred Certifications
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure Administrator Associate
- Microsoft Certified: Azure Security Engineer Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft Applied Skills Certifications related to Azure AI
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Desired Competencies
- Strong leadership and stakeholder management skills.
- Excellent communication and presentation skills.
- Strategic thinking and innovation mindset.
- Strong problem-solving and analytical abilities.
- Ability to communicate complex AI concepts to technical and non-technical audiences.
Experience developing AI governance and adoption programs.
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Key Deliverables
- Enterprise AI strategy and roadmap.
- Azure OpenAI and Copilot implementations.
- AI governance framework and operating model.
- AI cost optimization and adoption reporting.
- Secure and compliant AI solutions.
Business process automation and AI-driven productivity improvements.
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Ideal Candidate Profile
A hands-on Azure AI professional who can bridge business needs and technical execution, leading enterprise-wide adoption of Azure OpenAI, Copilot, machine learning, and generative AI technologies while ensuring security, scalability, compliance, and measurable business value.
#LI-NS1 #DICE
