Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
What we offer:
Competitive salary
Paid vacation/holidays/sick time
Comprehensive benefits package including 401K, medical, dental, and vision care
On the job/cross training opportunities
Encouraging and collaborative team environment
Dedication to safety through our Zero Harm policy
Johnson Controls International is seeking an AI Solution Architect to design and govern enterprise AI solutions across generative AI, agentic AI, machine learning, RAG, enterprise search and intelligent automation.
You will work with AI engineers, platform engineers, software teams, data scientists, product teams, cyber security, enterprise architecture and business stakeholders to turn AI opportunities into secure, scalable and supportable solutions.
How you will do itEnterprise AI solution architecture- Lead architecture and solution design for enterprise AI initiatives across business domains.
- Translate business needs into end-to-end solution architectures, roadmaps and non-functional requirements.
- Define reusable reference architectures, integration patterns and clear architecture decisions.
- Design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, vector stores and approved enterprise APIs.
- Define patterns for RAG, conversational AI, document intelligence, multimodal workflows and AI agents.
- Establish approaches for model selection, evaluation, safety, grounding, cost and operational reliability.
- Align solutions with approved platform capabilities, deployment patterns, networking and operational controls.
- Ensure AI traffic follows enterprise API management patterns for authentication, observability, throttling and cost allocation.
- Partner with engineering teams on APIs, data flows, application boundaries, reviews and production readiness.
- Embed security, privacy, accessibility, compliance and Responsible AI requirements from the outset.
- Define identity, RBAC, private networking, secrets, data protection, content safety and auditability patterns.
- Document risks, assumptions, dependencies, mitigations and operational-readiness requirements.
- Facilitate discovery and design workshops that turn ambiguous needs into phased delivery options.
- Explain AI concepts, risks and trade-offs clearly to technical and non-technical stakeholders.
- Provide technical leadership through reviews, mentoring and pragmatic architecture decisions.
- Bachelor's degree in a relevant discipline, or equivalent practical experience.
- 8+ years in solution architecture, software engineering, cloud architecture or enterprise technology roles.
- Proven experience designing and delivering production Azure solutions in complex enterprise environments.
- Hands-on architecture experience with generative AI, LLMs, RAG, conversational AI, document intelligence or agent-based solutions.
- Ability to guide solutions from discovery through design, delivery, governance approval and operational support.
AI Architecture
- Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), enterprise search, document intelligence, evaluation, and AI safety.
Azure AI
- Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, and approved model endpoints.
Integration
- REST APIs, Azure API Management, event-driven architectures, messaging platforms, tool integration, and enterprise integration patterns.
Security
- Microsoft Entra ID, managed identities, OAuth/OIDC, RBAC, private networking, secrets management, and secure-by-design principles.
Governance
- Architectural decision records, Responsible AI, privacy, risk management, compliance, observability, and production readiness.
- Strong systems thinking and judgement to balance innovation, speed, security, quality and maintainability.
- Clear communication and ability to influence across technical, product and business teams.
- Comfort facilitating workshops, resolving ambiguity and presenting options with trade-offs.
- Experience with Microsoft Agent Framework, Semantic Kernel, LangGraph, LangChain or similar orchestration frameworks.
- Experience with vector-capable data services such as Cosmos DB, Redis, PostgreSQL/pgvector or similar.
- Familiarity with Terraform, Kubernetes, Azure Container Apps, AKS, Azure API Management and landing-zone patterns.
- Azure Solutions Architect Expert, Azure AI Engineer Associate, TOGAF or comparable certification preferred.
- AI teams move from validated use case to production faster using clear, approved solution patterns.
- Solutions meet standards for security, privacy, Responsible AI, resilience, observability and supportability.
- Stakeholders understand decisions, risks, dependencies, trade-offs and expected business outcomes.
HIRING SALARY RANGE: $100,000-$140,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us.
#LI-HYBRID
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.
Skills Required
- Bachelor's degree in a relevant discipline or equivalent practical experience
- 8+ years in solution architecture, software engineering, cloud architecture or enterprise technology roles
- Proven experience designing and delivering production Azure solutions in complex enterprise environments
- Hands-on architecture experience with generative AI, LLMs, RAG, conversational AI, document intelligence or agent-based solutions
- Ability to guide solutions from discovery through design, delivery, governance approval and operational support
- Generative AI, Agentic AI, RAG, enterprise search, document intelligence, evaluation and AI safety expertise
- Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning and approved model endpoints
- Integration experience: REST APIs, Azure API Management, event-driven architectures, messaging platforms and enterprise integration patterns
- Security and identity experience: Microsoft Entra ID, managed identities, OAuth/OIDC, RBAC, private networking and secrets management
- Experience defining governance: Architectural decision records, Responsible AI, privacy, risk management, compliance, observability and production readiness
- Strong systems thinking, communication, facilitation and leadership skills (workshops, mentoring, stakeholder alignment)
- Experience with Microsoft Agent Framework, Semantic Kernel, LangGraph, LangChain or similar orchestration frameworks
- Experience with vector-capable data services such as Cosmos DB, Redis, PostgreSQL/pgvector or similar
- Familiarity with Terraform, Kubernetes, Azure Container Apps, AKS and landing-zone patterns
- Certifications such as Azure Solutions Architect Expert, Azure AI Engineer Associate, TOGAF or comparable
Johnson Controls Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.
-
Retirement Support — Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
-
Leave & Time Off Breadth — Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
-
Flexible Benefits — Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.
Johnson Controls Insights
What We Do
At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.
.png){kind=logo}
