Forward Deployed Architect (Customer-Facing) - AI SaaS - Austin

Stax Talent is partnering with a Series A, AI-native company (backed by top-tier Silicon Valley VCs, $150M+ raised) to hire a Forward Deployed Architect — a hands‑on, customer‑facing technical architect who owns the end‑to‑end delivery of AI‑driven business transformation projects for enterprise clients. About the company Our client is building the future of work with an AI teammate that unifies data, tools, and workflows into a single AI-ready platform — giving employees real-time insights, proactive suggestions, and agentic actions. Their AI-native apps and agents work alongside customer teams to eliminate repetitive work and break down silos between people and systems. About the role This is a genuinely customer‑facing position: you'll spend 30–50% of your time working directly with customers, and 30–50%+ hands‑on coding. You'll partner with pre‑sales teams to scope technical integration strategies, then own execution once opportunities move to post‑sales — building proofs‑of‑concept, custom integrations, and solution prototypes that prove out technical feasibility. You'll act as the connective tissue between pre‑sales, customer success, engineering, and product — bringing AI capabilities to life for real customers with real business problems. What you’ll do Design AI‑driven business transformation solutions and architect against customer needs Build and configure AI agents, workflows, and integrations (snap‑ins, connectors, APIs) that are reusable across customers Own requirements gathering directly with customers, translating needs into technical specifications Lead live demos, rapid prototyping, and iterate based on customer feedback Act as a trusted technical advisor on AI agent architecture, performance, and scalability Tune prompts, logic, and agent configurations for accuracy and reliability Travel up to 50% for on‑site discovery, deployment, and customer engagement What you’ll bring 5+ years in software development, AI/ML engineering, or technical consulting — with genuine customer‑facing experience essential Applied AI knowledge: LLMs, prompt engineering, RAG, function calling, and building evals for agentic AI solutions — you can speak fluently to what you’ve built, what broke, and the trade‑offs you made Demonstrated enterprise architecture experience, with security, scalability, and identity management considerations front of mind Hands‑on experience with AWS, GCP, or Azure at enterprise scale, plus modern DevOps practice (CI/CD, containers, observability) Comfortable integrating systems via APIs, webhooks, and event/data pipelines A data‑driven mindset — comfortable using A/B testing and telemetry to guide decisions Excellent written and verbal communication, able to flex between engineers and business stakeholders Bachelor's or Master's in Computer Science, Engineering, or related field; AI/architecture certifications (e.g. TOGAF, SAFe) a plus #J-18808-Ljbffr Stax - Deep Tech Talent