Austin, Texas, Austin. Texas, Boston, Massachusetts, Boston. Massachusetts, Chicago, Illinois, Chicago. Illinois, Dallas, Texas, Dallas. Texas, Houston, Texas, Houston. Texas, Los Angeles, California, Los Angeles. California, New Jersey, New York, New York City, New York, New York City. New York, New York, New York, New York. New York, Philadelphia, Pennsylvania, Philadelphia. Pennsylvania, Pittsburgh, Pennsylvania, Pittsburgh. Pennsylvania, San Jose, California, San Jose. California, Washington DC (District of Columbia)

Location Flexibility: Multiple Locations in Country

Req Id: 11435

Posting Start Date: 8/18/26

Position Overview: Wayfinders Senior Managing Consultant - Physical AI

Senior Managing Consultants own complex Physical AI engagements end-to-end - from initial framing through sustained value realization - leading multi-disciplinary teams across perception, modeling, and execution disciplines. 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.

Where a Managing Consultant owns architecture and delivery for a single engagement, Senior Managing Consultants are the primary point of accountability for the full client relationship, often overseeing multiple Managing Consultants and workstreams at once.

Key Responsibilities

Client & Engagement Leadership

• Own day-to-day client leadership across complex Physical AI engagements, partnering with business, operations, and technology leaders to frame problems and define success metrics
• Manage scope, risk, and stakeholder expectations across concurrent technical and physical/operational workstreams

Technical & Solution Leadership

• Provide hands-on technical leadership across the physical AI stack without being the primary engineer
• Validate architectural decisions for scalability, reliability, safety, and maintainability
• Act as first escalation point for complex technical, architectural, or delivery challenges

Delivery Oversight

• Lead teams of Managing Consultants, Senior Consultants, and Consultants across multiple workstreams
• Ensure engineering discipline, MLOps, and Responsible AI/safety standards are applied consistently
• Oversee deployment and lifecycle management of production physical AI systems, including robotics/automation components

Team & Practice Development

• Coach and develop delivery leaders and high-potential team members
• Support opportunity shaping, proposals, and client expansion
• Contribute reusable delivery patterns, playbooks, and accelerators

Required Skills & Experience

Experience & Education

• 6-10 years in consulting or equivalent delivery leadership roles
• Proven ownership of complex, end-to-end physical AI or automation engagements - spanning perception, modeling, and execution
• Demonstrated experience delivering production solutions with measurable business outcomes in real operating environments
• Bachelor's required; advanced degree preferred

Technical & Delivery Competency - the physical AI stack

• Computer vision / vision AI
• Industrial IoT, sensors, and telemetry
• Digital twins and simulation
• Robotics and automation systems
• Cloud data/AI platforms, ML/LLM systems, and orchestration patterns as applied to physical operations
• Ability to assess and guide architectural/tooling decisions across software and physical systems without coding or engineering hardware daily
• Working knowledge of MLOps, Responsible AI, governance, and safety considerations for physical/robotic systems

Leadership & Client Competencies

• Strong client-facing communication and stakeholder management
• Ability to lead cross-functional teams (technical, robotics/automation, operations) and manage ambiguity
• Structured problem solving with bias toward action

Fujitsu 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 $168,000 to $216,000 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.

As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits.

Relocation Supported: No

Visa Sponsorship Approved: No