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 Required Skills : - 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 Good to Have Skills : - 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 Qualifications : - Bachelor's degree or equivalent experience in Computer Science or related field