Forward Deployed Engineer

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