Physical AI Delivery & Solutions Lead

Accenture PLC

Austin (TX)

On-site

USD 94,000 - 316,000

Full time

14 days+

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Job summary

Accenture plc in the United States is seeking a Physical AI Delivery and Solutioning Manager to lead client workstreams from discovery through mobilization, implementation and transition. You will guide engineering decisions with strong domain knowledge in robotics and digital twins and manage stakeholder communications across engineering, IT, and operations.

The role requires 5+ years of experience, consulting or delivery exposure, and risk-aware governance across multi-disciplinary teams.

Qualifications

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 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.

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.