Forward Deployed Engineer
Forward Deployed Engineer works directly with enterprise customers to deploy and operationalize AI guardrails, evaluation frameworks, and observability systems in regulated industries. Requires strong software engineering experience in distributed systems, Kubernetes, and enterprise integrations.
About the job
Responsibilities
- Work directly with enterprise customers to deploy, integrate, and operationalize AI systems in real-world production environments
- Integrate AI guardrails, evaluation frameworks, and agentic observability capabilities into complex enterprise ecosystems
- Debug and troubleshoot complex deployment and integration challenges across customer environments
- Design and implement integrations across enterprise AI workflows, APIs, infrastructure, and governance systems
- Help customers operationalize AI guardrails, evaluations, observability, and monitoring capabilities in production
- Support deployment architectures across cloud, hybrid, and enterprise environments
- Translate customer deployment challenges into actionable feedback for product and engineering teams
- Work cross-functionally with research, engineering, product, and go-to-market teams
- Partner with customer stakeholders across engineering, infrastructure, security, risk, compliance, and operations teams
- Help customers navigate enterprise AI governance, evaluation, and approval workflows
Requirements
- Strong software engineering experience, especially in distributed systems, Kubernetes, APIs, platform engineering, and enterprise integrations
- Experience debugging and operating production systems in customer-facing environments
- Ability to navigate complex technical and organizational environments independently
- Strong communication and problem-solving skills
Nice-to-Haves
- Familiarity with Generative AI systems, LLM applications, AI infrastructure, or model deployment workflows
- Experience working in financial services, healthcare, government, or other regulated industries
- Familiarity with enterprise security, governance, compliance, or risk management workflows
- Experience with AI evaluation, guardrails, observability, or monitoring systems
Skills
Kubernetes, Distributed Systems, APIs, Platform Engineering, Enterprise Integrations, Production Systems, Generative AI, Llm Applications, AI Infrastructure, Model Deployment
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