Sr. Solution Architect

Salary: $100,000 - 140,000 per year Requirements:

• Were looking for a bachelors degree in a relevant field, or equivalent hands-on experience.
• We need 8+ years of experience in solution architecture, software engineering, cloud architecture, or broader enterprise technology roles.
• We require proven experience designing and delivering production Azure solutions in complex enterprise environments.
• We need practical architecture experience with generative AI, LLMs, RAG, conversational AI, document intelligence, or agent-based solutions.
• Were looking for someone who can guide solutions from discovery through design, delivery, governance approval, and operational support.
• We need strong expertise in generative AI, agentic AI, enterprise search, document intelligence, evaluation, and AI safety.
• We require experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, and approved model endpoints.
• Were looking for knowledge of REST APIs, Azure API Management, event-driven architectures, messaging platforms, tool integration, and enterprise integration patterns.
• We need experience with Microsoft Entra ID, managed identities, OAuth/OIDC, RBAC, private networking, secrets management, and secure-by-design principles.
• We require familiarity with architectural decision records, Responsible AI, privacy, risk management, compliance, observability, and production readiness.
• Were looking for strong systems thinking and the judgement to balance innovation, speed, security, quality, and maintainability.
• We need clear communication skills and the ability to influence across technical, product, and business teams.
• Were looking for someone comfortable facilitating workshops, resolving ambiguity, and presenting options with trade-offs.
• Preferred: 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 a comparable certification.

• We lead architecture and solution design for enterprise AI initiatives across multiple business domains.
• We translate business needs into end-to-end solution architectures, roadmaps, and non-functional requirements.
• We define reusable reference architectures, integration patterns, and clear architecture decisions.
• We design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, vector stores, and approved enterprise APIs.
• We define patterns for RAG, conversational AI, document intelligence, multimodal workflows, and AI agents.
• We establish approaches for model selection, evaluation, safety, grounding, cost, and operational reliability.
• We align solutions with approved platform capabilities, deployment patterns, networking, and operational controls.
• We ensure AI traffic follows enterprise API management patterns for authentication, observability, throttling, and cost allocation.
• We partner with engineering teams on APIs, data flows, application boundaries, reviews, and production readiness.
• We embed security, privacy, accessibility, compliance, and Responsible AI requirements from the outset.
• We define identity, RBAC, private networking, secrets, data protection, content safety, and auditability patterns.
• We document risks, assumptions, dependencies, mitigations, and operational-readiness requirements.
• We facilitate discovery and design workshops that turn ambiguous needs into phased delivery options.
• We explain AI concepts, risks, and trade-offs clearly to both technical and non-technical stakeholders.
• We provide technical leadership through reviews, mentoring, and pragmatic architecture decisions.

• Agentic AI
• AI
• AI Agents
• API
• Architect
• Azure
• Cloud
• Cosmos DB
• Support
• Kubernetes
• Machine Learning
• OAuth
• PostgreSQL
• RAG
• REST
• RBAC
• Redis
• Security
• TOGAF
• Terraform

More:

Johnson Controls is a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helping customers use energy more productively and operate with greater precision and resilience across data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. We have been delivering performance for more than 140 years, supported by advanced technology, lifecycle services, and a strong field organization. For this role, we offer a competitive salary, paid vacation/holidays/sick time, a comprehensive benefits package including 401K, medical, dental, and vision care, on-the-job and cross-training opportunities, an encouraging and collaborative team environment, and a strong commitment to safety through our Zero Harm policy. The hiring salary range is $100,000-$140,000, with final compensation based on education, experience, knowledge, skills, abilities, internal equity, location, and market data. This position includes a competitive benefits package.

last updated 36 week of 2026