C5i - Forward Deployed Engineer - Agentic AI

Were looking for a Forward Deployed Engineer Agentic AI to build and deploy production-grade AI agent systems for regulated enterprise clients. The ideal candidate has 46 years of experience, strong Python and cloud skills, and hands-on experience with agentic AI tools. Youll work closely with client teams in security-conscious environments and collaborate with AI coworkers to build reliable, scalable, and high-quality solutions.

Responsibilities

• Build production-grade agentic systems on cloud platforms and enterprise AI platforms
• Design and implement multi-agent workflows, RAG pipelines, tool integrations, MCP servers, and human-in-the-loop systems
• Write evaluations before features and define clear success criteria for system performance
• Integrate solutions into regulated enterprise environments with real security, access, and data constraints
• Own code quality, testing, documentation, and production support
• Practice DevSecOps from day one, including CI/CD, infrastructure as code, secrets management, IAM, and observability
• Contribute reusable IP such as code modules, evaluation frameworks, deployment runbooks, and design patterns
• Stay current with developments across cloud platforms and the broader agentic AI ecosystem, including leading AI labs and frontier releases
• Work closely with client technical teams and represent your work clearly in design reviews and discussions
• Use AI coworkers effectively as part of the delivery process while maintaining engineering judgment and accountability
  
  

• Strong programming fundamentals in Python
• Production-grade coding discipline
• Hands-on experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or equivalent
• Understanding of RAG architectures, vector databases, prompt engineering, and evaluation harnesses
• Strong cloud platform experience
• Working knowledge of CI/CD, testing, infrastructure as code, and security best practices
• Strong problem-solving ability and comfort working in ambiguous environments
• Clear client-facing communication skills
• Strong academic background in computer science, engineering, mathematics, or physics
  
  

• Experience with TypeScript, Java, or Go
• Cloud certifications relevant to your platform experience
• Experience building production agentic systems for regulated enterprises
• Experience with DevSecOps, observability, and enterprise security constraints
• Ability to use AI tools effectively as part of the development process
• Experience creating reusable technical assets for future teams
• Exposure to leading AI labs and open-source frontier work
• Familiarity with multi-agent orchestration, MCP servers, and human-in-the-loop workflows
  
  

• Bachelor's degree or equivalent experience in Computer Science or related field