Enterprise AI Solutions Architect – GenAI & Azure

Johnson Controls; Milwaukee (WI); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Paid vacation/holidays

Comprehensive benefits (401K, medical,

On the job/cross training

Collaborative team environment

Zero Harm safety policy

Job summary

Johnson Controls International seeks an AI Solution Architect to design and govern enterprise AI solutions—generative and agentic AI, RAG, enterprise search and automation. You will collaborate with AI engineers, platform teams, data scientists and stakeholders to transform opportunities into secure, scalable applications.

Lead architecture across business domains, align with platform capabilities, and embed Responsible AI, security, and governance throughout delivery.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8+ years in solution or cloud architecture.
• Proven production Azure solutions in complex enterprise environments.
• Hands-on architecture with generative AI, LLMs, RAG, conversational AI, or agent-based solutions.

Responsibilities

• Lead enterprise AI architecture across business domains.
• Translate needs into end-to-end architectures, roadmaps and non-functional requirements.
• Define reusable reference architectures and integration patterns.
• Collaborate with AI engineers, platform teams and data scientists to deliver secure, scalable solutions.
• Ensure security, governance and Responsible AI from the outset.

Skills

Leadership

Stakeholder Management

Systems Thinking

Communication

Education

Bachelor's degree

Tools

Azure AI Foundry

Azure OpenAI

Azure ML

Azure AI Search

REST APIs

Azure API Management

Job description

Johnson Controls International seeks an AI Solution Architect to design and govern enterprise AI solutions—generative and agentic AI, RAG, enterprise search and automation. You will collaborate with AI engineers, platform teams, data scientists and stakeholders to transform opportunities into secure, scalable applications.

Lead architecture across business domains, align with platform capabilities, and embed Responsible AI, security, and governance throughout delivery.