Lead Robotics Platform Architect for Multi-Robot AI

Accenture; Mountain View (CA); On-site; USD 133,000 - 338,000; Full time

Job summary

Accenture is seeking a Robotics Technical Architect to define and scale robotics intelligence platforms, fleets and services across cloud, edge and on-site environments. The role demands deep expertise in ROS/ROS 2, C++, Python, and production-grade robotics systems within industrial contexts.

You will lead architecture reviews, collaborate with solution architects and client teams, and drive governance, security and production-readiness across complex deployments.

Qualifications

• 8+ years of professional experience in robotics engineering, robotics software, autonomous systems, industrial automation or related fields.
• Experience architecting and deploying robotics systems in production.
• Strong proficiency in ROS/ROS 2, Python and C++.
• Hands-on experience with robotics intelligence capabilities such as perception, localization, SLAM, motion planning, sensor fusion, autonomous navigation.
• Experience with fleet management and multi-robot coordination.
• Experience integrating robotics with industrial systems and protocols such as PLC/SCADA, OPC UA, MQTT, EtherNet/IP, MES, WMS or ERP.
• Understanding of cloud, edge and GPU deployment patterns, containers, APIs, event-driven integration, observability and production operations.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Define end-to-end technical architecture for robotics intelligence platforms, autonomous systems, robotic fleets and robotics services, covering robot hardware, software, middleware, AI models, orchestration, integration and operational support.
• Architect Robotic intelligence platforms spanning perception, localization, SLAM, sensor fusion, motion planning, task planning, autonomous decision logic, robot learning and runtime execution.
• Define architecture patterns for robotics foundation models, synthetic-data pipelines, simulation-based training, model evaluation, simulation-to-real transfer and on-robot inference.
• Architect multi-robot orchestration and fleet-management platforms, including task allocation, traffic management, execution monitoring, exception handling and cross-system coordination.
• Define orchestration services for task allocation, resource scheduling, traffic management, state and event management, exception handling, human intervention, execution monitoring and fleet optimization.
• Design integration patterns across robot OEM systems, fleet managers, ROS/ROS 2, PLC/SCADA, MES, WMS, ERP, IoT platforms, industrial data platforms and site operational workflows.
• Define robotics runtime and platform architecture across cloud, edge and GPU infrastructure, including connectivity, deployment topology, performance, scalability, resilience, security and cost trade-offs.
• Establish robotics observability, telemetry, diagnostics, remote operations, configuration management, software distribution, upgrade, rollback and lifecycle-management patterns.
• Partner with digital-twin and simulation teams to define robotics simulation, virtual commissioning, synthetic-data, robot-training and deployment-validation approaches.
• Define production-readiness and service-management standards covering testing, safety, cybersecurity, commissioning, supportability, operational continuity and transition from pilot to scaled deployment.
• Lead architecture reviews, design authority, architecture decision records, technical risk management and engineering governance throughout pursuits and delivery.
• Provide technical leadership and mentorship to robotics, automation, AI and platform engineering teams and establish reusable engineering standards and practices.
• Support pre-sales and solutioning through technical discovery, scoping, architecture proposals, estimates, demonstrations, partner selection, risk assessment and delivery transition.
• Build reusable reference architectures, adapters, integration patterns, test assets and accelerators for robotics intelligence, UOP, fleet operations and managed robotics services.
• Collaborate with ecosystem partners including NVIDIA, robotics OEMs, industrial automation providers, fleet-management vendors, cloud providers and industrial software companies.

Skills

ROS/ROS 2

Python

C++

Perception

Localization

SLAM

Motion Planning

Sensor Fusion

Autonomous Navigation

Fleet Management

Multi-Robot Coordination

Orchestration Platforms

Industrial Protocols

Cloud/Edge Deployment

Containers

APIs

Observability

Production Operations

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Docker

Kubernetes

Job description

Accenture is seeking a Robotics Technical Architect to define and scale robotics intelligence platforms, fleets and services across cloud, edge and on-site environments. The role demands deep expertise in ROS/ROS 2, C++, Python, and production-grade robotics systems within industrial contexts.

You will lead architecture reviews, collaborate with solution architects and client teams, and drive governance, security and production-readiness across complex deployments.