Business Practitioner - Agentic AI Sr Manager/Associate Director

About the role

We Are: 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.

Responsibilities

• Subject Matter Advisory on Delivery
• Provide senior guidance on solution direction, architecture decisions, and technical risk to overall client programs.
• Guide delivery teams on AI governance design, agentic life-cycle management, operating models, COE structure, stage-gate policy, and responsible AI posture; bring the domain knowledge that delivery teams need to make the right calls without escalating every decision.
• Advisory on Microsoft platform application across the agentic lifecycle: inform build approach selection (Copilot Studio vs. Azure AI Foundry pro-code), orchestration patterns, RAG design, evaluation frameworks, and AIOps.
• Flag and guide resolution of security, compliance, and responsible AI risks before they become delivery problems; bring the enterprise deployment perspective that junior delivery team members are unlikely to carry.
• Contribute to phased roadmaps (POV to pilot to scaled rollout) and value tracking frameworks; ensure delivery milestones connect to the business outcomes committed in the SOW.
• Develop cross-functional team capability in agentic AI delivery patterns; build reusable accelerators and repeatable approaches that reduce the need for SMA involvement over time.
• Deal Shaping & Pre-Sales Solutioning
• Lead origination and pre-sales solutioning for high-impact agentic AI opportunities, bringing the technical and domain breadth to shape deals that others cannot, and across active engagements, you will operate as a Subject Matter Advisor: guiding solution direction, shaping governance and operating model design, and providing the senior technical and thought leadership that keeps programs on the right track.
• Apply deep knowledge of agentic AI across process reinvention, governance frameworks, Centers of Excellence, operating model design, and the full agentic lifecycle 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 a pursuit.
• Build defensible proposals and SOWs; define solution scope, risk and RAI posture, staffing model, and delivery approach at a level of depth that gives clients and internal deal teams confidence in what is being committed.
• C-level Storytelling & Executive Advisory
• Craft board-level narratives that connect industry problems to agentic AI outcomes; use 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 one with Accenture, Avanade, and Microsoft: co-innovating, co-selling, and co-delivering; align to Microsoft programs and co-funding where appropriate.

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, risk mitigations; ability to collaborate with deal teams on pricing, terms and conditions, 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 when to use 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; strong coaching and lead-from-the-front ethos.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience.)
• Professional Skills Requirement: 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.

Qualifications

• 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, risk mitigations; ability to collaborate with deal teams on pricing, terms and conditions, 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 when to use 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; strong coaching and lead-from-the-front ethos.
• Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience.)
• Professional Skills Requirement: 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.

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.

Benefits

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 08/14/2026.

Pay

Annual Salary Range: 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

Schedule

Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.