Solution Architect – Computer Vision, Embodied AI
Summary
Solution Architect leading pre-sales for computer vision and embodied AI, designing architectures for autonomy/robotics testing and guiding product roadmap based on feasibility.
- Lead technical pre-sales across computer vision and embodied AI / autonomy engagements: workshops, demos, solution-design sessions.
- Scope customer requirements (CV model assurance, UGV / robotics autonomy V&V) and translate them into formal technical specifications and test strategies.
- Design solution architectures that map customer needs to AIP capabilities across vision, generative, and autonomous-systems testing.
- Act as the feasibility anchor for both the solutions we propose to clients and the internal roadmap: guide the team on what to build and how to prioritise, grounded in hands on experience of what is realistic.
- Push back constructively when a client requests something that does not make technical sense or would demand disproportionate effort, and steer them toward a workable alternative.
- Advise customers on evaluation methodology: ODD specification, scenario design, simulation-based and real-world V&V, sensor-data analysis, and model performance, robustness, and safety testing.
- Work with Forward Deployed Engineers to ensure smooth handover from scoping to deployment.
- Maintain ongoing technical relationships with key government and defence accounts.
- Contribute to proposal writing, RFP responses, and technical documentation.
- Provide market and competitive intelligence to inform the product roadmap, particularly in autonomy and robotics testing.
Requirements
- 5 to 10 years in solution architecture, ML/AI engineering, or technical consulting, with customer-facing scoping experience.
- Technical depth across both computer vision and embodied AI / robotics / autonomous systems (perception stacks, ROS, simulation, sensor data).
- Experience designing solutions for enterprise and government customers.
- Excellent presentation and communication skills: comfortable in executive-level conversations.
- Ability to translate complex technical capabilities into customer business value.
- Experience with proposal writing, RFP responses, and formal requirements documentation.
- Self-directed and comfortable operating across time zones and geographies.
- Comfortable carrying engagements through many conversations and consistent follow-up rather than one-off interactions.
- Thrives in ambiguity, where scope shifts as client needs and conversations evolve.
- Able to iterate on scope and ramp quickly to depth in unfamiliar technical areas.
Core Competencies
Demonstrates expertise in solution architecture and technical consulting, particularly in computer vision and embodied AI/robotics. Capable of translating complex technical specifications into customer value while maintaining strong relationships with government and defense accounts.
Highest-signal resume keywords
- Solution Architecture
- Computer Vision
- Embodied AI
- Proposal Writing
- Technical Consulting
ATS Optimization Keywords
Hard Skills
- Machine Learning
- Autonomous Systems
- Simulation
- Sensor Data Analysis
- Technical Specifications
- Test Strategies
- Model Performance Testing
- Robotics
- V&V (Verification and Validation)
- Perception Stacks
Soft Skills
- Excellent Communication Skills
- Presentation Skills
- Self-Directed
- Adaptability
- Client Relationship Management
Industry Keywords
- Government Accounts
- Defense Accounts
- Market Intelligence
- Competitive Intelligence
- Customer Engagement
Tools & Technologies
- ROS (Robot Operating System)
- AIP Capabilities
- Scenario Design
- Simulation-Based Testing
- ODD Specification