Forward Deployed Engineer
Build and deploy customer-specific AI agents from scoping through production launch and first-shift stabilization. The role combines customer workflow design, applied AI engineering, enterprise integrations, evaluation, and production hardening.
About the job
Responsibilities
- Convert prioritized AI use cases into delivery scopes, technical plans, and phased implementation approaches.
- Map customer workflows, exception paths, approvals, escalation rules, and human-in-the-loop controls.
- Design and build customer-specific AI agent solutions, including orchestration logic, prompt architecture, retrieval flows, workflow rules, and decision logic.
- Integrate customer data sources, APIs, SaaS platforms, CRMs, ERPs, and enterprise knowledge systems.
- Develop evaluations, guardrails, and acceptance criteria for usefulness, reliability, safety, task success, and production readiness.
- Test, analyze failures, and tune quality, groundedness, latency, cost, and operational effectiveness.
- Prepare solutions for production, including access controls, observability, rollout sequencing, exception handling, fallback behavior, and support readiness.
- Lead go-live and first-shift stabilization, including issue resolution, workflow adjustments, and customer-facing hypercare.
- Document implementation patterns, runbooks, failure modes, and improvement recommendations.
- Feed field learnings back to Product, Engineering, and transformation teams.
Requirements
- Experience in a customer-facing technical role such as Forward Deployed Engineering, Solutions Architecture, Technical Consulting, Deployment Engineering, or AI-focused SaaS implementation.
- Hands-on experience building and deploying AI, LLM, or agentic systems in production.
- Knowledge of LLMs, prompt engineering, retrieval systems, vector databases, evaluation methods, and agent orchestration frameworks.
- Proficiency in Python, JavaScript/TypeScript, Go, or similar languages.
- Experience with APIs, enterprise integrations, and workflow automation.
- Ability to translate ambiguous business objectives and SOPs into shippable technical solutions.
- Strong customer communication skills and ability to explain trade-offs, risks, timelines, and technical concepts.
- High ownership, sound judgment under ambiguity, and a bias toward measurable outcomes.
Compensation
- ATS salary range: $112,400–$171,600 USD annually.
- California target base salary range: $124,800–$171,600 USD.
- Colorado target base salary range: $112,400–$154,400 USD.
- US compensation reflects base salary only and excludes bonus, equity, and benefits.
- Competitive benefits, training, growth opportunities, and AI tools.
Skills
Artificial Intelligence, LLMs, Prompt Engineering, Retrieval Systems, Vector Databases, Agent Orchestration, Python, JavaScript, TypeScript, Go, APIs, Enterprise Integrations, Workflow Automation, Evaluation Methods, Observability
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