{"id":543100,"url":"https://alion.io/job/johnsoncontrols-sr-solution-architect","title":"Sr. Solution Architect","company":{"id":448321,"name":"Johnson Controls","domain":"johnsoncontrols.com","url":"https://alion.io/company/johnsoncontrols-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":522,"ghost_share":0.002,"stale_share":0.728,"repost_share":0.015,"time_to_fill_p50_days":32,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Glendale, United States","Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Azure AKS","optional":true},{"name":"Azure Cosmos DB","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T23:04:54Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":81},"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.\nFor 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.\nWhat we offer:\nCompetitive salary\nPaid vacation/holidays/sick time\nComprehensive benefits package including 401K, medical, dental, and vision care\nOn the job/cross training opportunities\nEncouraging and collaborative team environment\nDedication to safety through our Zero Harm policy\nJob overview\nJohnson 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.\nYou 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.\nHow you will do it\nEnterprise AI solution architecture\nLead architecture and solution design for enterprise AI initiatives across business domains.\nTranslate business needs into end-to-end solution architectures, roadmaps and non-functional requirements.\nDefine reusable reference architectures, integration patterns and clear architecture decisions.\nGenerative AI and agentic solutions\nDesign solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, vector stores and approved enterprise APIs.\nDefine patterns for RAG, conversational AI, document intelligence, multimodal workflows and AI agents.\nEstablish approaches for model selection, evaluation, safety, grounding, cost and operational reliability.\nPlatform alignment and engineering collaboration\nAlign solutions with approved platform capabilities, deployment patterns, networking and operational controls.\nEnsure AI traffic follows enterprise API management patterns for authentication, observability, throttling and cost allocation.\nPartner with engineering teams on APIs, data flows, application boundaries, reviews and production readiness.\nSecurity, governance and Responsible AI\nEmbed security, privacy, accessibility, compliance and Responsible AI requirements from the outset.\nDefine identity, RBAC, private networking, secrets, data protection, content safety and auditability patterns.\nDocument risks, assumptions, dependencies, mitigations and operational-readiness requirements.\nBusiness engagement and technical leadership\nFacilitate discovery and design workshops that turn ambiguous needs into phased delivery options.\nExplain AI concepts, risks and trade-offs clearly to technical and non-technical stakeholders.\nProvide technical leadership through reviews, mentoring and pragmatic architecture decisions.\nQualifications and experience\nRequired experience\nBachelor's degree in a relevant discipline, or equivalent practical experience.\n8+ years in solution architecture, software engineering, cloud architecture or enterprise technology roles.\nProven experience designing and delivering production Azure solutions in complex enterprise environments.\nHands-on architecture experience with generative AI, LLMs, RAG, conversational AI, document intelligence or agent-based solutions.\nAbility to guide solutions from discovery through design, delivery, governance approval and operational support.\nTechnical Expertise\nAI Architecture\nGenerative AI, Agentic AI, RAG (Retrieval-Augmented Generation), enterprise search, document intelligence, evaluation, and AI safety.\nAzure AI\nAzure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, and approved model endpoints.\nIntegration\nREST APIs, Azure API Management, event-driven architectures, messaging platforms, tool integration, and enterprise integration patterns.\nSecurity\nMicrosoft Entra ID, managed identities, OAuth/OIDC, RBAC, private networking, secrets management, and secure-by-design principles.\nGovernance\nArchitectural decision records, Responsible AI, privacy, risk management, compliance, observability, and production readiness.\nLeadership and ways of working\nStrong systems thinking and judgement to balance innovation, speed, security, quality and maintainability.\nClear communication and ability to influence across technical, product and business teams.\nComfort facilitating workshops, resolving ambiguity and presenting options with trade-offs.\nPreferred qualifications\nExperience with Microsoft Agent Framework, Semantic Kernel, LangGraph, LangChain or similar orchestration frameworks.\nExperience with vector-capable data services such as Cosmos DB, Redis, PostgreSQL/pgvector or similar.\nFamiliarity with Terraform, Kubernetes, Azure Container Apps, AKS, Azure API Management and landing-zone patterns.\nAzure Solutions Architect Expert, Azure AI Engineer Associate, TOGAF or comparable certification preferred.\nWhat success looks like\nAI teams move from validated use case to production faster using clear, approved solution patterns.\nSolutions meet standards for security, privacy, Responsible AI, resilience, observability and supportability.\nStakeholders understand decisions, risks, dependencies, trade-offs and expected business outcomes.\nSALARY RANGE: $140,000 - $160,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This role offers a competitive Bonus plan that will take into account individual, group, and corporate performance. This position includes a competitive benefits package. 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. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us\nJohnson 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, visitEEO is the Law. 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