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