AI Solution Architect I

Job Summary

Robotics Principal, Technical Lead

Leads the India-based robotics engineering team and contributes to the technical direction of the CoE's platform, demo lab, and solutions. Turns demos and PoCs into reusable, production-ready capabilities, and partners with the Client Solutions Lead to make sure what is promised to customers can be built and scaled.

Key Responsibilities

Team & Technical Leadership

• Lead, mentor, and grow the engineering team, including hiring, skill-gap identification, and training plans.
• Set engineering standards, safety protocols, and delivery checklists.
• Prioritize the backlog and balance innovation, feasibility, scalability, and cost.

Skill Requirements

Platform & Solution Architecture

• Contribute to the architecture and the development of the robotics platform and its solution domains (e.g., autonomous inspection, warehouse automation, digital twins, robotics AI).
• Keep solutions modular and aligned with reference architectures across ROS/ROS2, autonomy, simulation (NVIDIA Omniverse, USD), perception/AI, hardware, and cloud/data platforms.

Demo Lab & Systems Readiness

• Own the technical readiness of the India robotics lab: hardware, autonomy stacks, perception pipelines, and integrations must be reliable, current, and enterprise-ready.
• Plan and deliver new lab capabilities in line with market trends, partner ecosystems, and the roadmap.

Hands-On Delivery & Scale-Up

• Lead technical execution of PoCs and pilots against agreed KPIs, including integration, testing, and root-cause analysis.
• Own technical handover to delivery teams (architecture docs, implementation guidelines, effort models, deployment patterns) and support early scale-up.

Reusable Assets & Ecosystem

• Govern accelerators, reference architectures, demo kits, and integration frameworks, and track their adoption.

Evaluate partner technology (robot OEMs, platform vendors, AI providers

Other Requirements

Qualifications

• Bachelor's or Master's in Robotics, Mechatronics, Computer Engineering, or a related field.
• 8+ years in robotics engineering, autonomous systems, or system integration, including experience leading engineering teams (ideally distributed).
• Previous experience leading development efforts for enterprise quality and grade software development and integration efforts.
• Hands-on with ROS/ROS2, perception, navigation, sensors, and robotics hardware; proficient in Python and/or C++.
• Familiarity with simulation platforms, AI/ML and GenAI in robotics, and cloud/industrial data platforms.
• Able to translate customer requirements into technical roadmaps and explain them clearly to non-technical audiences.