AI Engineer

We are seeking a Senior AI Developer with specialized expertise in Python-based agentic AI systems to join our enterprise development team. This role focuses on designing, developing, and maintaining sophisticated AI agent architectures that support our organization''s digital transformation initiatives while maintaining compliance with enterprise security and governance standards.

 

Architecture & Development

Design and implement production-grade AI agent systems using LangGraph and AgentCore frameworks

Develop and maintain agentic AI solutions that integrate with enterprise systems while adhering to security standards and configuration baselines

Build and optimize MCP (Model Context Protocol) servers and clients for seamless agent-to-system communication

Architect scalable Python-based applications supporting complex AI workflows and multi-agent orchestration

Ensure all developed systems comply with organizational security standards, including Database Technology Security Standard (1500) and Secure Coding and Application Design Security Standard (2509)

Implement secure coding practices aligned with CIS and DISA STIG guidelines

Collaborate with Information Security to integrate technical controls and security baselines into agent systems

Maintain audit trails and nonrepudiation requirements for all data transformation operations performed by AI agents

Ensure systems do not leverage unapproved databases or persist restricted/confidential data on end-user devices

Integrate AI agents with enterprise databases and applications following vendor recommendations and tested configurations

Work with Architecture Review Board processes for technology evaluation and implementation approval

Support deployment of agents in SOC2 and HITRUST-compliant environments

Maintain systems at vendor-approved release versions to protect against known security vulnerabilities

Partner with Information Security and Database Administration teams on security implementation and incident response

Participate in security exception request processes when necessary

Contribute to organizational security awareness and best practices documentation

Stay current with AI/ML security trends, threat intelligence, and emerging vulnerabilities

 

5+ years professional Python development experience

3+ years hands-on experience with LangGraph framework and agentic AI system design

2+ years demonstrated expertise building and deploying AI Agents in production environments

2+ years experience developing and managing MCP servers and clients

2+ years working with AgentCore or equivalent enterprise AI orchestration frameworks

Strong understanding of multi-agent system architecture and agent communication patterns

Proficiency in secure coding practices and application security design

Experience with enterprise database technologies and data governance

Security & Compliance Knowledge

Demonstrated understanding of healthcare/enterprise security standards and compliance frameworks

Experience implementing audit logging and nonrepudiation controls

Familiarity with SOC2, HITRUST, or equivalent compliance requirements

Knowledge of CIS and DISA STIG guidelines as applied to application development

Professional Competencies

Advanced problem-solving and system design capabilities

Strong communication skills for cross-functional collaboration with security and infrastructure teams

Ability to balance innovation with security and compliance requirements

Experience working in regulated environments (healthcare, financial services, or equivalent)

 

Experience with vector databases and retrieval-augmented generation (RAG) systems

Familiarity with enterprise API gateway and service mesh technologies

Background in healthcare IT or HIPAA-regulated environments

Contributions to open-source AI/ML projects

Certifications in security (CISSP, CCSK) or cloud platforms (AWS, Azure)

 

 

Required Experience:

5-8 years of related work experience or equivalent combination of transferable experience demonstrating proficiency and experience in design, implementation, monitoring and troubleshooting technology