Senior Robotics Architecture Lead — AI & Fleet Orchestration

Freelio; Northern (KY); Hybrid; USD 140,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Robotics Technical Architect to define architecture, integration, deployment and scaling of robotics intelligence within its Physical AI portfolio. You will lead multi-robot orchestration, fleet integration, and lifecycle services, working with solution architects and client teams.

You will apply deep robotics expertise across cloud, edge and on-premise platforms, contributing to production readiness, security and governance while mentoring engineering teams.

Qualifications

• 8+ years of professional experience in robotics engineering, robotics software, autonomous systems, industrial automation or related fields.
• Demonstrated experience architecting and deploying robotics systems in production environments.
• Strong proficiency in ROS/ROS 2, Python and C++ for robotics applications and platform integration.

Responsibilities

• Define end-to-end technical architecture for robotics intelligence platforms and fleets.
• Architect robotics platforms spanning perception, localization, SLAM, sensor fusion, and motion planning.
• Define architecture patterns for robotics foundation models and simulation-to-real transfer.
• Design multi-robot orchestration and fleet-management platforms with task allocation and monitoring.
• Lead architecture reviews and establish reusable engineering standards.

Skills

Robotics engineering

Robotics software

Autonomous systems

Industrial automation

Python

C++

Fleet management

Education

Bachelor's degree in a technical field

Tools

ROS/ROS 2

Kubernetes

Docker

CI/CD

Job description

Accenture is seeking a Robotics Technical Architect to define architecture, integration, deployment and scaling of robotics intelligence within its Physical AI portfolio. You will lead multi-robot orchestration, fleet integration, and lifecycle services, working with solution architects and client teams.

You will apply deep robotics expertise across cloud, edge and on-premise platforms, contributing to production readiness, security and governance while mentoring engineering teams.