Archetype AI · 1 day ago
Solutions Engineer
Palo Alto, CA
Full-time
Onsite
Lead/Staff
10+ years expArchetype AI is developing an innovative AI platform that transforms real-world data into actionable insights. They are seeking a hands-on Staff Solutions Engineer to lead technical customer engagements across various industries, combining technical expertise with leadership to ensure successful implementation of solutions.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Be the technical voice of the company in customer engagements, representing our product’s capabilities and technical vision
Join customer sales calls as the technical subject matter expert, translating requirements into solution designs
Deliver tailored technical demos that highlight relevant capabilities and industry use cases
Lead technical discovery and solution scoping sessions with customer stakeholders
Respond to technical questions and requirements in procurement and RFP processes
Lead delivery of POCs and pilot projects using internal tools, application templates, and APIs
Onboard, deploy, and integrate solutions into customer environments, including cloud, edge, and on-premise deployments
Build reusable solution assets such as templates, scripts, and integration components to accelerate delivery for future projects
Ensure solutions align with performance, security, and compliance requirements
Take a hands-on role in coding, integration, troubleshooting, and optimization during deployments
Mentor junior and mid-level engineers on technical best practices, deployment approaches, and customer engagement skills
Act as a technical lead on select projects, coordinating engineering efforts to ensure quality and timely delivery
Contribute to building internal knowledge bases, playbooks, and reusable technical assets
Partner with Sales, Product Management, AI R&D, and Platform Engineering teams to ensure customer needs are met and exceeded
Act as the technical voice of the customer, advocating for enhancements and prioritization of high-value capabilities
Support marketing and GTM teams by contributing technical content for solution briefs, case studies, and events
Qualification
Required
10+ years of engineering experience in relevant fields (IoT, industrial, medical, computer vision, enterprise SaaS, or similar)
5+ years working directly with enterprise clients in a customer-facing Solutions Engineer, Sales Engineer, or Solutions Architect role
Demonstrated success designing and delivering complex enterprise-grade technical solutions for customers in production environments
Track record as a hands-on engineer: you've debugged gnarly issues, written core components yourself, and solved problems that didn't come with a playbook
Experience building and deploying solutions on the edge or on-premise, as well as in cloud-native environments (AWS, Azure, Kubernetes)
Hands-on experience with numerous sensor technologies (video, vibration, radar, temperature, accelerometers, etc.) and communications protocols (REST, MQTT, TCP/UDP, WebSockets, serial, RTSP, etc.)
Proficiency integrating with customer systems via APIs, Kafka, and data pipelines
Ability to design and build data ingestion pipelines for real-time and batch processing scenarios
Proficiency in multiple programming languages (e.g., Python, C#, C++, JavaScript/TypeScript) and able to roll up your sleeves to build production-grade code, not just prototypes
Experience with modern software architecture (microservices, event-driven systems, containerized deployments)
Experience building full-stack applications with modern frameworks and tooling (e.g., Svelte, React, Tailwind, Node.js)
Knowledge of compliance frameworks including SOC2, HIPAA, PHI, GDPR, and ISO standards
Familiarity with security best practices such as TLS/SSL, OAuth 2.0, OpenID Connect, secure connectivity protocols, and IoT security
Understanding of data provenance, governance, and secure data handling
Familiarity with model deployment, inference pipelines, and real-time data processing
Startup-ready mindset, thrives in ambiguity, adapts quickly to change, and operates at speed without sacrificing quality
Hardcore problem-solver with a bias for action: the kind of engineer who digs in, finds the root cause, and gets it done even when the path isn't obvious
Strong communication skills with the ability to translate complex technology into customer value
Consultative and collaborative, with the ability to navigate complex enterprise environments
Skilled at mentoring and enabling other engineers
Self-starter with strong organizational and time-management skills
Willingness to travel extensively as needed for customer success. This may include regular customer engagements, visits to Palo Alto HQ, trade shows, and industry events. While travel volume may fluctuate, candidates should be prepared for periods of heavy travel, including extended on-site work with customers if required
Preferred
Experience with machine learning and artificial intelligence in production environments
Background in edge computing, low-latency pipelines, or multimodal systems
Prior work with large enterprise accounts and multi-stakeholder solution sales
Knowledge of additional industry-specific standards or compliance frameworks
Company
Archetype AI
Archetype AI develops Physical AI agents that harness real-world sensor data to enhance decision-making and automate processes.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$48MKey Investors
Comcast NBCUniversal LIFT LabsVenrock5G Open Innovation Lab
2025-11-20Series A· $35M
2024-10-20Non Equity Assistance
2024-04-05Seed· $13M
Leadership Team
Jaime Lien
Co-Founder & Chief Scientist
Nick Gillian
Founder, CTO
Recent News
2025-11-23
Company data provided by crunchbase