Description

Design, develop, and maintain production-grade AI agent systems and enterprise integrations.

This role is hybrid.

Responsibilities

• Build scalable Python applications for complex AI workflows and multi-agent orchestration using LangGraph and AgentCore.
• Develop and maintain Model Context Protocol (MCP) servers and clients for enterprise AI communication.
• Implement secure AI applications and security controls aligned with SOC 2, HITRUST, CIS, and DISA STIG standards.
• Deploy AI solutions into secure enterprise environments and partner with Architecture Review Boards during evaluations.
• Document AI architectures, best practices, and operational procedures while supporting production deployments.

Required Skills

• 5+ years of professional Python development experience.
• 3+ years designing and developing Agentic AI solutions using LangGraph.
• 2+ years building and deploying production AI agents.
• Experience developing and managing Model Context Protocol (MCP) servers and clients.
• Strong understanding of multi-agent architectures, AI orchestration, and prompt engineering.
• Experience integrating AI applications with enterprise APIs and databases.
• Knowledge of secure coding practices and compliance frameworks (SOC 2, HITRUST, CIS, DISA STIG).

Preferred Skills

• Experience with Retrieval-Augmented Generation (RAG), vector databases, and enterprise API gateways.
• Cloud certifications (AWS or Azure) or security certifications (CISSP, CCSK).
• Experience in healthcare or HIPAA-regulated environments.

Key Skills

Education

Bachelor's degree