Business Practitioner - Agentic AI Sr Manager/Associate Director

About the Role

We are the Accenture Microsoft Business Group (AMBG)—a unified team that brings together Accenture, Avanade, and Microsoft to help organizations transform with the full power of the Microsoft ecosystem. We combine deep industry expertise, modern cloud and data capabilities, and next-generation AI—including Microsoft Copilot, Azure OpenAI, Copilot Studio, Microsoft Foundry, Fabric, and AMBG’s own accelerators—to help clients modernize, innovate, and achieve measurable business outcomes. From cloud modernization to AI-enabled business reinvention, security, analytics, and industry-specific solutions, we partner closely with clients to design, build, and scale transformative Microsoft-powered solutions that create lasting impact across their enterprise.

As a commercially-driven practitioner, you will leverage your technical and domain expertise to shape solutions, challenge architects, and provide compelling reasons for CIOs to engage. Your work in pre-sales solutioning is as valuable as your contributions in delivery, enabling you to originate deals and guide their execution with subject matter authority.

Responsibilities

• Subject Matter Advisory on Delivery
  • Serve as Subject Matter Advisor across one or more active client engagements simultaneously, providing senior guidance on solution direction, architecture decisions, and technical risk.
  • Guide delivery teams on AI governance design, agentic lifecycle management, operating models, COE structure, stage-gate policy, and responsible AI posture.
  • Advise on Microsoft platform application across the agentic lifecycle, including build approach selection (Copilot Studio vs. Azure AI Foundry pro-code), orchestration patterns, RAG design, evaluation frameworks, and AIOps.
  • Flag and resolve security, compliance, and responsible AI risks before they become delivery problems.
  • Contribute to phased roadmaps (POV to pilot to scaled rollout) and value tracking frameworks, ensuring delivery milestones align with business outcomes committed in the SOW.
  • Develop cross-functional team capability in agentic AI delivery patterns and build reusable accelerators to reduce the need for SMA involvement over time.
• Deal Shaping & Pre-Sales Solutioning
  • Lead agentic AI opportunities from origination to signed SOW, including discovery, value hypothesis shaping, solution blueprint definition, and commercial construct alignment.
  • Apply deep knowledge of agentic AI to guide how Microsoft capabilities (365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agent Service, Azure ML, Microsoft Fabric) are positioned and scoped in pursuits.
  • Build defensible proposals and SOWs with detailed solution scope, risk and RAI posture, staffing model, and delivery approach.
• C-level Storytelling & Executive Advisory
  • Craft board-level narratives connecting industry problems to agentic AI outcomes using data-backed storytelling to secure executive sponsorship and funding.
  • Facilitate executive workshops to shape transformation agendas, operating models, value cases, and governance from Copilots to fully autonomous agents.
• Ecosystem Orchestration
  • Operate as a unified team with Accenture, Avanade, and Microsoft, co-innovating, co-selling, and co-delivering solutions.
  • Align with Microsoft programs and co-funding opportunities as appropriate.

Travel may be required for this role, ranging from 0% to 100% depending on business need and client requirements.

Requirements

• Minimum of 10 years in consulting or technology, including 3+ years as a senior technical practitioner on cloud, data, or AI programs, ideally on Microsoft.
• Minimum of 7 years of experience crafting solution options, estimates, delivery models, and risk mitigations, collaborating with deal teams on pricing, terms, and governance.
• Minimum of 3 years of hands-on architecture or supervision experience with Microsoft Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agent Service, Azure ML, Prompt Flow/evaluations, and Microsoft Fabric; fluency in low-code vs. pro-code approaches.
• Minimum of 7 years of experience leading multi-disciplinary teams across strategy, industry, data/AI engineering, and change management.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience.)

Skills

• Practical knowledge of Responsible AI, identity, security, data governance, and deployment guardrails for enterprise AI.
• Strong C-level communication and consulting skills; ability to engage business and technology stakeholders.
• Ability to lead large, multidisciplinary technical teams.
• Structured, value-driven, problem-solving mindset.

Preferred Qualifications

• Experience leading end-to-end agentic AI business process transformations.
• Experience shipping Copilot Studio solutions and Azure AI Foundry agents in regulated industries (FS, H&PS), including content safety, evaluations, and monitoring.
• Industry POVs connecting Fabric-enabled data modernization to agentic workflows and measurable business KPIs.

Pay

Compensation at Accenture varies based on factors such as office location, role, skill set, and level of experience. The following salary ranges are provided as required by local law:

• California: $132,500 to $302,400
• Cleveland: $122,700 to $241,900
• Colorado: $132,500 to $261,300
• District of Columbia: $141,100 to $278,200
• Illinois: $122,700 to $261,300
• Maine: $112,900 to $222,500
• Maryland: $132,500 to $261,300
• Massachusetts: $132,500 to $278,200
• Minnesota: $132,500 to $261,300
• New York: $122,700 to $302,400
• New Jersey: $141,100 to $302,400
• Virginia: $122,700 to $278,200
• Washington: $141,100 to $278,200

Benefits

Accenture offers a market-competitive suite of benefits, including:

• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan with bonus opportunities.
• Paid holidays and paid time off.

For more information, visit U.S. Employee Benefits | Accenture.