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Microsoft -Pure AI-Manager

  • Source: LinkedIn
  • EY
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

AI Business Solutions –AI Engineer Manager: At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

About Global Delivery Services Global Delivery Services refers to EY’s worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.

Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.

Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.

Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.

Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.

The Opportunity We are looking for an experienced AI Engineer (Manager) to lead the design and delivery of agent-based AI solutions using Microsoft technologies. This role combines hands-on technical expertise with team leadership to drive the adoption of AI-driven automation and scalable enterprise solutions.

Your Key Responsibilities

  • Lead end-to-end design and implementation of AI solutions using Copilot Studio, Azure AI Foundry, and agent-based frameworks.
  • Develop and oversee intelligent agent development using Microsoft Agent Framework / Semantic Kernel (Python or C#).
  • Drive solution architecture, ensuring scalability, performance, and alignment with enterprise standards.
  • Collaborate with stakeholders to identify AI use cases and translate business requirements into technical solutions.
  • Mentor team members and ensure high-quality delivery across AI initiatives.
  • Responsible for decision-making, optimizing processes, resource management, and overseeing team management as needed for task execution.
  • Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.

Skills And Attributes For Success

  • Strong experience in Copilot Studio and AI agent development.
  • Proficiency in Microsoft Agent Framework / Semantic Kernel (Python or C#).
  • Hands-on experience with Azure AI Foundry and AI/ML services.
  • Strong understanding of agent-based architectures, orchestration, and integration patterns.
  • Ability to lead technical design and guide teams on best practices.
  • Strong stakeholder management and communication skills.
  • Collaborate with cross-functional teams to integrate AI solutions within enterprise systems and workflows.
  • Translate business requirements into scalable AI architectures and reusable components.
  • Ensure solution performance, reliability, and alignment with enterprise security and governance standards.
  • Ability to work effectively in distributed, onshore–offshore delivery models.

Ideally, you’ll also The following skills are preferred and add value to the role:

  • Experience with…

Skills

  • microsoft-azure
  • Python
  • c-sharp
  • microsoft-power-platform

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