JobHabor

Principal IT Pillar Specialist

McDermott External
Location
Gurgaon, Haryana, India
Workplace
Employment
Full Time
Salary
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Posted today

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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