About the Physical AI Team:
Accenture combines strategy, digital twins and simulation, robotics intelligence, orchestration, industrial integration and managed operations to help clients scale autonomous and adaptive physical operations. Delivery requires technical credibility, industry understanding, consulting discipline and rigorous controls for production deployment.

The Work:
The Physical AI Delivery and Solutioning Manager leads client workstreams and small-to-medium Physical AI engagements from discovery and solution definition through mobilization, implementation, validation and transition. The role combines delivery accountability with sufficient technical depth to guide engineering decisions, enough industry understanding to redesign operating workflows, and the consulting capability to manage stakeholders, value, scope, risk and team performance.

Key Responsibilities

• Lead delivery workstreams across digital twins and simulation, robotics AI and training, robotic orchestration, industrial integration or related Physical AI domains.

• Own workplans, milestones, staffing, budget, quality, dependencies, risks, decisions and client communications for the assigned scope.

• Translate operational problems into requirements, use cases, target outcomes, delivery increments, acceptance criteria and value-realization measures.

• Contribute to solution design, estimates, staffing models, implementation roadmaps, proposals, statements of work and delivery mobilization.

• Coordinate engineers, architects, industry SMEs, data and AI teams, cloud and edge teams, OT specialists, cybersecurity teams and ecosystem partners.

• Provide design and delivery governance across architecture decisions, interfaces, testing, safety, OT security, responsible AI, human-in-the-loop controls and production readiness.

• Guide teams through simulation, integration, hardware-in-the-loop, user acceptance, site acceptance, commissioning and transition-to-support activities as applicable.

• Lead client workshops, playback sessions, steering updates, design reviews and executive decision discussions with business, operations, engineering, IT and OT stakeholders.

• Manage engagement financials, including estimates, budget, forecast, staffing, scope change, partner dependencies, and delivery margin.

• Manage changes in scope and priorities while protecting client outcomes, technical integrity, delivery economics and team sustainability.

• Identify follow-on opportunities grounded in demonstrated value and client needs and support shaping of the next phase.

• Build reusable methods, delivery templates, reference patterns, test assets, lessons learned and onboarding materials.

• Coach junior team members and create a delivery environment with clear ownership, engineering discipline and transparent escalation.

Travel Requirements:

Travel is required for this role and could vary up to 75%

Here's what you need:

• 5+ years of professional experience, including at least 3 years in consulting, systems integration or client-facing delivery.

• Practical experience in at least two relevant domains: robotics integration, industrial automation, digital twins, simulation, AI/ML deployment, computer vision, industrial data, edge/cloud or orchestration.

• Experience managing a project workstream or technical module with responsibility for plan, team, quality, risk, dependencies and stakeholder outcomes.

• Experience translating operational challenges into measurable outcomes tied to throughput, productivity, quality, safety, capital or operating cost, commissioning risk, uptime or workforce effectiveness.

• Ability to review technical designs, challenge assumptions, facilitate decisions and communicate implications to non-technical stakeholders.

• Understanding of production-readiness practices, testing, change control, cybersecurity, safety and operational support in industrial environments.

• Experience working with manufacturing, warehousing, logistics, engineering, data-center, laboratory or other asset-intensive operations.

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

Bonus Points If:

• Hands-on experience with ROS 2, simulation tools, digital-twin platforms, industrial automation, AI/ML deployment, cloud/edge platforms or OT integration.

• Experience with NVIDIA, Siemens, Dassault Systemes, PTC, Ansys, Rockwell, SAP, hyperscaler, robotics or automation ecosystems.

• Experience supporting pursuit solutioning, estimates, proposals, client orals and commercial shaping.

• Experience taking a proof of concept through pilot, production deployment and multi-site scale.

• Industry process knowledge in manufacturing, warehousing, logistics, engineering, capital projects, data centers or life-sciences operations.

• Project management, Agile, SAFe, Lean, Six Sigma, cloud, architecture, cybersecurity or relevant industrial technology certification.

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 10/25/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role LocationAnnual Salary Range

California$94,400 to $316,300

Colorado$94,400 to $273,200

Connecticut$94,400 to $273,200

District of Columbia$100,500 to $291,000

Illinois$87,400 to $273,200

Maine$80,400 to $232,800

Maryland$94,400 to $273,200

Massachusetts$94,400 to $291,000

Minnesota$94,400 to $273,200

New York$87,400 to $316,300

New Jersey$100,500 to $316,300

Ohio$87,400 to $253,000

Virginia$87,400 to $291,000

Washington$100,500 to $291,000