Solution Architect – Computer Vision, Embodied AI

Resaro

Solution Architect leading technical pre-sales and solution scoping for AI testing solutions at Resaro. Engaging with customers to design technical specifications across computer vision and robotics.

Posted 7/23/2026full-timeSingapore • 🇸🇬 SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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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 ArchitectureComputer VisionEmbodied AIProposal WritingTechnical Consulting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAutonomous SystemsSimulationSensor Data AnalysisTechnical SpecificationsTest StrategiesModel Performance TestingRoboticsV&V (Verification and Validation)Perception Stacks

Soft Skills

Excellent Communication SkillsPresentation SkillsSelf-DirectedAdaptabilityClient Relationship Management

Tools & Technologies

ROS (Robot Operating System)AIP CapabilitiesScenario DesignSimulation-Based TestingODD Specification

Industry Keywords

Government AccountsDefense AccountsMarket IntelligenceCompetitive IntelligenceCustomer Engagement

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities