Hybrid AI Architect for Enterprise Agentic Systems

York Solutions, LLC; Maplewood (MN); Hybrid; USD 180,000 - 240,000; Full time

Job summary

York Solutions, LLC is seeking an experienced Agentic AI Architect to set the architecture, standards, and operating model for enterprise agent systems that plan, reason, and act via secure interfaces. You will lead a cross-functional team, define reference designs for multi-agent workflows, memory, orchestration, and human oversight, and mentor teams on modern engineering.

The role accelerates automation and decision support by delivering scalable, reliable, and compliant agent services

Qualifications

• Master’s degree in CS, applied math, engineering, or a related field completed before start.
• At least 5 years in AI engineering with 2+ years in generative AI, AI-driven automation, or RPA.

Responsibilities

• Own reference architecture and roadmap for agentic AI across enterprise platforms.
• Lead cross-functional teams and communicate decisions to executives.
• Deliver production-grade agentic solutions with CI/CD, testing, rollback, and human-in-the-loop controls.
• Establish governance, safety, and compliance, including prompt-injection defenses and data handling.

Skills

Python proficiency

Cross-functional leadership

AI engineering

Communication to execs

Security/compliance awareness

Education

Master’s degree in CS/math/engineering

Tools

LangGraph

AWS Bedrock AgentCore

Azure AI Agent Service/AI Foundry

Mulesoft

SAP BTP

Airflow

Kafka/Kinesis

Job description

York Solutions, LLC is seeking an experienced Agentic AI Architect to set the architecture, standards, and operating model for enterprise agent systems that plan, reason, and act via secure interfaces. You will lead a cross-functional team, define reference designs for multi-agent workflows, memory, orchestration, and human oversight, and mentor teams on modern engineering.

The role accelerates automation and decision support by delivering scalable, reliable, and compliant agent services