Lead Physical AI Delivery & Solutions

Accenture

St. Louis (MO)

On-site

USD 100,000 - 170,000

Full time

14 days+

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

Accenture seeks a Physical AI Delivery and Solutioning Manager to lead client workstreams from discovery to mobilization, implementation, validation and transition. The role blends delivery accountability with technical depth to guide engineering decisions, redesign operating workflows and manage stakeholders across Digital Twins, robotics AI and industrial integration.

Travel up to 75% and experience in consulting or systems integration are required.

Qualifications

5+ years of professional experience in consulting, systems integration or client-facing delivery.
Experience in robotics integration, industrial automation, digital twins, simulation, AI/ML deployment, computer vision, industrial data, edge/cloud or orchestration.
Ability to manage a project workstream with plan, team, quality, risk, dependencies and stakeholder outcomes.
Experience translating operational challenges into measurable outcomes such as throughput, productivity, quality, safety, cost or uptime.

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 and statements of work.
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 and responsible AI.
Guide teams through simulation, integration, hardware-in-the-loop, site acceptance and transition-to-support activities as applicable.
Lead client workshops, playback sessions, steering updates, design reviews and executive discussions with stakeholders.
Manage engagement financials, including estimates, budget, forecast, staffing, scope changes and delivery margin.
Identify follow-on opportunities grounded in value and client needs.
Build reusable methods, templates, reference patterns and onboarding materials.
Coach junior team members and foster a disciplined, transparent delivery culture.