Physical AI Delivery Lead: Digital Twins & Robotics

Accenture PLC

Miami (FL)

On-site

USD 120,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Health benefits

401(k) plan

Paid time off

Job summary

Accenture is seeking a Physical AI Delivery and Solutioning Manager in the United States to lead client workstreams from discovery through mobilization, implementation, and transition. The role combines delivery accountability with technical depth to guide engineering decisions and redesign operating workflows.

Ideal candidates have 5+ years of professional experience, consulting or systems integration background, and a Bachelor’s degree or equivalent.

Qualifications

5+ years of professional experience, including at least 3 years in consulting, systems integration or client-facing delivery.
Practical experience in 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.
Ability to translate operational challenges into measurable outcomes tied to throughput, productivity, quality, safety, capital or operating cost.
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.
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.