DIRECTOR - Azure

Happiest Minds Technologies; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Happiest Minds Technologies is seeking an accomplished AI practice leader to drive strategy, growth, and delivery for a Microsoft GenAI and Agentic AI portfolio. You will own capability building, hyperscale partnerships, pre-sales, and enterprise-scale solution delivery across the Microsoft ecosystem.

The role demands extensive experience in GenAI/Agentic AI, multi-agent frameworks, and a track record of guiding teams of architects, engineers, and consultants while shaping deals and delivering

Qualifications

• 18+ years IT experience with leadership in practice.
• Deep hands-on leadership across the Microsoft ecosystem is mandatory.
• Proven experience delivering GenAI/Agentic AI at enterprise scale with multi-agent frameworks.
• Strong pre-sales, large deals shaping, and proposal leadership.
• Background in solution architecture, cloud-native design, MLOps, and LLM Ops.

Responsibilities

• Lead strategy, growth, and delivery of the Microsoft GenAI and Agentic AI practice.
• Define and execute vision, roadmap, and go-to-market for the practice.
• Own outcomes across revenue, margin, capability maturity, delivery quality, and client success.
• Drive capability development, and scale a team of architects, engineers, and consultants.
• Lead pre-sales, RFP/RFI responses, solution architecture, and client presentations.
• Own strategic Microsoft partnership and co-sell motions; represent at events.
• Provide executive delivery oversight, governance, and risk management; ensure Responsible AI and security.

Skills

GenAI leadership

Microsoft ecosystem

Pre-sales leadership

Solution architecture

Cloud-native design

MLOps

LLM Ops

Executive stakeholder mgmt

Team building

Education

Bachelor's in Engineering/CS

MBA or advanced degree

Tools

Semantic Kernel

AutoGen

Microsoft Agent Framework

LangGraph

CrewAI

Job description

Key Responsibilities

Lead the strategy, growth, and delivery of the Microsoft GenAI and Agentic AI practice, owning capability building, hyperscale partnership, pre-sales, and enterprise-scale solution delivery.

Practice Strategy & Growth

• Define and execute the vision, roadmap, and go-to-market strategy for the practice.
• Own practice-level outcomes across revenue, margin, capability maturity, delivery quality, and client success.

Technology Focus

Drive depth and scale across the Microsoft ecosystem such as Azure Core Services, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Services (Cognitive Services), Copilot Studio and M365 Copilot Extensibility, and Microsoft Fabric, along with commonly used multi-agent frameworks such as Semantic Kernel, AutoGen, Microsoft Agent Framework, LangGraph, and CrewAI.

Capability & Team Development

• Build, mentor, and scale a high-performing team of AI architects, engineers, and consultants.
• Drive the certification agenda and structured competency frameworks to strengthen practice credibility.
• Foster a culture of innovation through internal hackathons, learning paths, and Responsible AI practices.

Pre-Sales, Proposals & Solutioning

• Lead pre-sales, RFP/RFI responses, solution architecture, and client presentations.
• Shape deal strategies, pricing, and win themes with sales leadership.
• Build reusable accelerators, reference architectures, and IP.

Microsoft Partnership & Alliance

• Own the strategic partnership with Microsoft, including co-sell motions, funding programs, specializations, and Solutions Partner designations.
• Represent Happiest Minds at Microsoft and industry flagship events, and drive thought leadership through whitepapers, blogs, and speaking engagements.

Solution Delivery Excellence

• Provide executive oversight on delivery quality, governance, architecture reviews, and risk management.
• Ensure Responsible AI, security, and compliance standards across all engagements.

Required Experience & Qualifications

• 18+ years of overall IT experience, with a strong track record in practice leadership roles.
• Deep hands-on and leadership experience across the Microsoft ecosystem is mandatory.
• Proven experience delivering GenAI and Agentic AI solutions at enterprise scale, using multi-agent frameworks, is mandatory.
• Demonstrated success in pre-sales, large deal shaping, and proposal leadership.
• Strong background in solution architecture, cloud-native design, MLOps, and LLM Ops.
• Established relationships within the Microsoft partner ecosystem are preferred.
• Bachelor's degree in Engineering or Computer Science; MBA or advanced technical degree preferred.

Desired Qualities

• Strategic thinker with strong business acumen and executive presence.
• Excellent communication, storytelling, and CXO-level stakeholder management skills.
• Go-getter attitude with speed, ownership, and outcome orientation.
• Passion for AI innovation and commitment to Responsible AI principles.

Azure,Microsoft Power Platform,Copilot,M365,Gen AI,Agentic Ai