Forward Deployment Engineer - Frontier AI Deployments
On-siteSan Francisco, California, United States or Mountain View Santa Clara County, California, United States
Job Summary
Work directly with customer engineering, product, and domain teams to translate ambiguous problems into clear technical plans and success criteria. Design AI-powered systems that integrate models with existing platforms, APIs, and security controls, balancing speed, quality, safety, and scalability. Build prototypes, production applications, and workflow automations using frontier AI capabilities, then own the path from prototype to production including testing, rollout planning, and observability. Define evaluation methods to measure model quality and accuracy, while ensuring deployments adhere to security, privacy, and responsible AI expectations. Capture real-world deployment learnings to share actionable feedback with Product, Research, and Engineering teams, turning successful solutions into reusable technical patterns.
Required Qualifications
- Strong experience in software engineering, applied AI engineering, product engineering, solutions engineering, platform engineering, or technical consulting
- Strong hands-on programming experience with Python and at least one additional language such as TypeScript, JavaScript, Go, Java, C++, or Rust
- Experience building production software systems, APIs, integrations, backend services, data pipelines, or customer-facing applications
- Strong understanding of LLM application patterns such as prompts, context windows, RAG, embeddings, tool/function calling, agents, evaluations, and model orchestration
- Ability to work directly with customer engineering and business teams in ambiguous, fast-moving environments
- Strong system design skills with practical judgment around reliability, security, scalability, latency, cost, and maintainability
- Excellent communication skills with the ability to explain complex technical ideas clearly to technical and non-technical stakeholders
- Ownership mindset with the ability to move from problem discovery to shipped production outcomes
Desired Qualifications
- Experience deploying LLM, GenAI, agentic, or AI assistant systems in production
- Experience with OpenAI API, ChatGPT Enterprise, Codex, or similar AI platforms
- Experience with retrieval systems, vector databases, workflow automation, enterprise integrations, observability, and evaluation frameworks
- Experience working in customer-facing engineering roles such as Forward Deployment Engineer, Solutions Engineer, AI Deployment Engineer, Technical Lead, or Founding Engineer
- Experience deploying AI solutions in complex enterprise environments such as financial services, healthcare, government, legal, customer operations, software engineering, or enterprise productivity
- Experience turning repeated deployment learnings into reusable platform patterns, product feedback, or internal engineering playbooks
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