Senior Solution Architect

Johnson Controls

. Lead architecture and solution design for enterprise AI initiatives across business domains .

Posted 10/8/2026full-timeUnited StatesSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering enterprise AI solutions using Azure technologies, with a strong focus on generative AI, compliance, and operational readiness. Capable of translating business needs into effective architecture and guiding teams through the entire solution lifecycle.

Highest-signal resume keywords

Azure AI FoundryGenerative AISolution ArchitectureREST APIsAzure Solutions Architect Expert

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Hard Skills

Solution ArchitectureGenerative AIAzure Machine LearningDocument IntelligenceRAGConversational AIAI SafetyIntegration PatternsData ProtectionOperational Reliability

Soft Skills

Clear CommunicationFacilitationJudgementInfluencingProblem Solving

Tools & Technologies

Azure OpenAIAzure API ManagementMicrosoft Entra IDTerraformKubernetesCosmos DBRedisPostgreSQLAzure Container AppsEvent-Driven Architectures

Certifications & Qualifications

Azure Solutions Architect ExpertAzure AI Engineer AssociateTOGAF

Industry Keywords

Enterprise AIComplianceResponsible AIRisk ManagementObservability

Tech Stack

Tools & technologies

AzureCloudKubernetesPostgresRedisTerraform

About the role

Key responsibilities & impact

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 generative AI and agentic 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
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

Requirements

What you’ll need

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
Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, and approved model endpoints
REST APIs, Azure API Management, event-driven architectures, messaging platforms, tool integration, and enterprise integration patterns
Microsoft Entra ID, managed identities, OAuth/OIDC, RBAC, private networking, secrets management, and secure-by-design principles
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 preferred
Experience with vector-capable data services such as Cosmos DB, Redis, PostgreSQL/pgvector or similar preferred
Familiarity with Terraform, Kubernetes, Azure Container Apps, AKS, Azure API Management and landing-zone patterns preferred
Azure Solutions Architect Expert, Azure AI Engineer Associate, TOGAF or comparable certification preferred

Benefits

Comp & perks

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
Competitive bonus plan based on individual, group, and corporate performance