Principal IT Pillar Specialist
McDermott External · Gurgaon, Haryana, India
Mixed hiring record · median 55 days open
All reasons
- Open 45 days
- 47% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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.
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 benefits
- 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
Skills
- Python
- .NET
- Generative AI
- Retrieval-Augmented Generation
- Machine Learning
- LLM
- Microsoft 365
- SharePoint
- GitHub Copilot
- Copilot Studio
- Cursor
- Azure AI Foundry
- Azure OpenAI
- Azure AI Search
- Azure AI
- Prompt Engineering
- ASP.NET Core
- Azure Functions
- Azure App Service
- Azure SQL
- Azure DevOps
- GitHub
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