Job Overview:

The AI Development Manager will lead the development and delivery of Enterprise-grade AI solutions across all functions as needed. This role combines people leadership, technical depth, delivery accountability, and stakeholder influence. The successful candidate will build and develop a high-performing global development team, translate business priorities into a scalable AI product roadmap, and ensure that AI applications, agents, knowledge solutions, and intelligent automation platforms are secure, governed, supportable, and measurable.

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:

- Own the AI product roadmap, use-case prioritization, delivery plan, budget, risks, and value realization
- Lead and develop AI developers, Python and .NET developers, architects, and delivery partners
- Partner with business leaders to define outcomes, manage priorities, and communicate progress and decisions
- Provide technical direction for Generative AI, AI agents, RAG, semantic search, and document intelligence solutions
- Establish reusable architecture, engineering standards, CI/CD, ML Ops/LLM Ops, testing, monitoring, and support practices
- Integrate AI solutions with Microsoft 365, SharePoint, Microsoft Graph, ERP, CRM, databases, and enterprise applications. Promote modular design,



reusable services, API-first integration, observability, automated testing, and maintainable engineering practices
- Transformation from generic code to refactorable code and vibe code methods (GitHub Copilot, M365 Copilot Studio, Cursor etc
- Ensure compliance with Responsible AI, cybersecurity, privacy, data governance, and enterprise architecture standards
- Drive production reliability, adoption, performance, cost optimization, and continuous improvement. Define measurable success criteria and track outcomes such as adoption, cycle-time reduction, quality, reliability, user satisfaction, and realized advantages
- Excellent verbal and written communication in English with both technical and non-technical stakeholders
- Curiosity, adaptability, and a disciplined approach to continuous learning and experimentation

Essential Qualifications and Education:

- Bachelor's degree in Computer Science, Information Technology, or a related discipline

- 10+ years in application development, cloud, data, or AI, including 4+ years leading technical teams/ AI Development function/ delivery functions

- Proven delivery of enterprise Generative AI, AI agent, RAG, search, or intelligent document solutions from concept to production.

- Experience managing stakeholders, resources, partners, dependencies, risks, and measurable delivery outcomes

- Competent in Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Agent Service, prompt engineering, and RAG architecture

- Adept in Advanced Python; working knowledge of .NET / ASP.NET Core, REST APIs, Azure Functions, App Services, Storage, and Azure SQL

- Working knowledge of Azure DevOps, GitHub, CI/CD, cloud-native architecture, API integration, monitoring, and secure development practices

- People leadership, product and portfolio management, Agile delivery, vendor management, and executive communication

- Exposure to ITIL Principles and Change management process

#LI-NS1

#DICE

📌 Principal IT Pillar Specialist (India)
🏢 McDermott
📍 India