This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
Wayfinders Managing Consultant – Physical AIManaging Consultants are senior delivery leaders and system owners responsible for end-to-end solution architecture, engineering rigor, and client success on individual Physical AI engagements. Physical AI describes systems that perceive the physical world (sensors, cameras, connectivity), reason about it (AI/ML, simulation, digital twins), and act on it (robotics, automation) — think computer vision-guided quality inspection, predictive maintenance from sensor telemetry, or a digital twin that simulates a warehouse before automation goes live. You'll own architecture and delivery for a single complex engagement at a time, working hands-on across the stack without necessarily being the primary engineer.Key Responsibilities:Architecture & System OwnershipDefine end-to-end architecture for your engagement, spanning perception, modeling/simulation, and robotics/automation executionDecide when to apply rules-based logic, ML, computer vision, LLMs, or hybrid approachesDesign for scalability, reliability, safety, and security in production physical environmentsEngineering & Delivery LeadershipSet engineering standards, CI/CD, and testing practices for models, edge systems, and automation logicOversee deployment, monitoring, and lifecycle management of systems running in physical environmentsUphold Responsible AI, safety, and governance standards throughoutPlatform & IntegrationMake platform tradeoffs (data/AI platforms, digital twin tools, edge compute, robotics orchestration)Integrate physical AI systems with enterprise platforms (ERP, MES/SCADA, supply chain) and physical execution systemsClient & Team LeadershipAct as trusted advisor to client stakeholders on your engagementLead and mentor Senior Consultants and ConsultantsContribute to proposals and reusable IPRequired Skills & Experience:4–7 years in consulting or equivalent industry roles, with proven ownership of end-to-end physical AI, automation, or intelligent operations solutions — spanning perception, modeling, and executionTrack record delivering production solutions in real operating environments (manufacturing, warehouse/logistics, industrial operations)Bachelor's required; advanced degree preferredTechnical Expertise — the physical AI stackComputer vision / vision AIIndustrial IoT, sensors, and telemetryDigital twins and simulationRobotics and automation executionCloud data/AI platforms, ML/LLMs, and orchestration as applied to physical operationsMLOps, monitoring, Responsible AI, and safety practices for physical/robotic systemsLeadershipExecutive communication and client leadershipTeam leadership and coachingStrategic thinking with delivery accountabilityFujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $140,000 to $180,000 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.At Fujitsu, one of our corporate principles is "We respect human rights." This principle underpins our corporate and individual activities and guides the actions of every Fujitsu Group member. We embrace diversity and equal opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Worksite address
austin, TX, 78701, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.