Solutions ArchitectFormant, Inc. • San Francisco, CA, United States

Solutions Architect

Formant, Inc. • San Francisco, CA, United States

11 days ago

Job type

Full-time

Job description

At Formant , we’re building the operating system for intelligent machines. Our mission is to unlock the full potential of robotics by making it effortless to manage, operate, and scale heterogeneous fleets—powered by AI. Our customers span autonomous cleaning, logistics, agriculture, and more. We’re a small, agile team working on a big, tangible future : real-world AI in motion.

The Role

NOTE- This role is based in the San Francisco Bay Area. You MUST be willing to relocate.

We're hiring our first Solutions Architect : a customer champion who brings AI capabilities into the messy, complex reality of production robotics environments. This isn't a role for someone who wants to perfect algorithms in isolation. You'll spend your time embedded with customers, understanding their operations, identifying where AI can transform their business, and building solutions that deliver measurable impact.

You’ll be the bridge between our customers' operational challenges and our platform's AI capabilities. When a logistics company needs to predict maintenance issues across 200 robots, or an agriculture customer wants to optimize route planning with LLMs, you're the person who turns that business problem into a deployed solution.

You’ll report to our Director, Customer Success Engineering and work closely with product engineering and go-to-market teams to ensure every customer deployment succeeds and that lessons learned improve our platform for everyone.

What You’ll Do

Customer-First Deployment & Implementation

Own end-to-end AI implementations for enterprise customers ($500k+ ARR), from initial discovery through production deployment and beyond
Embed on-site with customers to deeply understand their robotics operations, workflow constraints, and business objectives
Transform ambiguous customer requirements (like "we need our robots to work better") into concrete, deployed AI solutions that drive measurable ROI
Build trust as the technical expert customers rely on during critical deployments and production issues

AI Solutions in Production Environments

Design and implement LLM-powered workflows, RAG pipelines, and AI solutions tailored to each customer's specific robotic use cases

Rapidly prototype solutions that balance cutting-edge AI capabilities with production reliability requirements

Navigate the real-world constraints of robotics deployments : latency, connectivity, safety, and integration with existing systems

Create reusable frameworks and tools that accelerate future customer deployments

Cross-Functional Impact

Serve as the voice of the customer to product engineering, translating field insights into platform improvements and new AI capabilities

Collaborate with go-to-market teams to demonstrate technical value in customer engagements and support expansion opportunities

Enable customer teams through training, documentation, and knowledge transfer, ensuring they can maintain and evolve AI solutions independently

Switch seamlessly between diving deep into technical architecture with customer engineers and presenting business value to C-suite executives

Who You Are

Required Experience

3+ years in customer-facing engineering roles deploying technical solutions in production environments (Solutions Engineering, Implementation Engineering, Forward Deployed Engineering, Technical Account Management, etc.)

Proven enterprise customer success : Track record of managing customer engagements at companies with $500k+ ARR, including on-site deployments

Production deployment expertise : You've shipped real solutions that real users depend on and supported them when things break

Programming proficiency : Comfortable writing production-quality code in Python or TypeScript

AI / LLM experience : Hands-on experience with LLMs, prompt engineering, and RAG / vector databases in production contexts

Ambiguity navigator : Demonstrated ability to take vague customer needs and turn them into concrete technical solutions

What Makes You Exceptional

Technical versatility with React, SQL, and ROS

Experience integrating external APIs to build end-to-end customer solutions

Familiarity with robotics platforms (Boston Dynamics Spot, AMRs, industrial robots, SCADA systems)

Knowledge of Model Context Protocol or similar AI frameworks

Background at an AI-first startup or in forward deployed engineering roles

Who Will Struggle in This Role

Pure research or academic backgrounds without production deployment experience

Inability or unwillingness to travel for customer engagements (expect 30-40% travel)

Preference for well-defined requirements over ambiguous problem spaces

Solo contributor mindset. This role requires extensive cross-functional collaboration

Discomfort with rapid context switching between technical depth and executive communication

Your Superpowers

Customer empathy : You genuinely care about customer success and take pride in their wins

Robotics passion : Excited by the intersection of AI and the physical world

Builder mentality : Bias toward shipping working prototypes over perfecting theoretical solutions

Communication range : Equally comfortable explaining architectures to executives and debugging with engineers

Fast learner : Quickly master new domains, from warehouse operations to agricultural workflows

Resilience : Thrive in the organized chaos of enterprise deployments and emergent customer needs

NOTE : This candidate will need to be located in the San Francisco area to occasionally go to the office to interact with our robots.

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