Sr. Solution Architect

YDU JC Air Cond & Ref Inc.- Dubai; United States; Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Paid vacation/holidays/sick time

401K, medical, dental, vision care

On the job training

Collaborative team environment

Zero Harm safety policy

Job summary

Johnson Controls International plc. 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 lead architecture, define reference patterns, and collaborate with AI engineers, data scientists and business stakeholders to deliver secure, scalable solutions aligned with enterprise standards.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8+ years in solution/enterprise architecture or related roles.
• Proven experience delivering production Azure solutions in complex 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 and operations.

Responsibilities

• 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 architecture decisions.
• Design and govern generation of AI solutions using Azure AI Foundry, Azure OpenAI, Azure ML and vector stores.
• Ensure security, privacy and Responsible AI considerations are embedded from the outset.
• Collaborate with platform, security, product and business teams to ensure production readiness.

Skills

Generative AI

LLMs

RAG

Conversational AI

Document intelligence

Agent-based solutions

Education

Bachelor's degree in a relevant discipline

Tools

Azure AI Foundry

Azure OpenAI

Azure ML

Cosmos DB

Terraform

Kubernetes

Job description

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

Job overview

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 it

Enterprise 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.

Generative AI and agentic solutions

• 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.

Platform alignment and engineering collaboration

• 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.

Security, governance and Responsible AI

• 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.

Business engagement and technical leadership

• 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.

Qualifications and experience

Required experience

• 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.

Preferred qualifications

• 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.

Technical Expertise

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.

Leadership and ways of working

• 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.

What success looks like

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.

#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.

Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.