Senior Level AI Solution Architect Jobs
Senior level ai solution architect jobs put experienced professionals in charge of defining AI strategy, owning end-to-end solution design, and leading the technical teams that deliver at scale. Openings concentrate across Technology & Software, Manufacturing, and Staffing & Recruiting, with a strong mix of remote and on-site positions, and employers like HP, Capgemini, and Protiviti hiring at this level now.
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Position Overview
Cambay Solutions — a Microsoft Solutions Partner and Great Place to Work®–certified team of 350+ Microsoft specialists — is scaling its AI practice across the Microsoft ecosystem. We help clients move from AI experimentation to production, delivering Copilot agents, generative-AI solutions, and intelligent automation across Microsoft 365, Copilot Studio, Azure AI, and the Power Platform, including regulated and government (GCC High) environments. We are seeking a highly experienced and visionary AI Principal Architect to own end-to-end solution architecture for client engagements — translating business problems into secure, scalable AI designs, guiding delivery teams through build, and serving as a trusted technical advisor across pre-sales, roadmap, and delivery. This is a remote-first role open to candidates based in the United States.
Key Responsibilities
- Lead the design of end-to-end AI solutions using Microsoft Copilot Studio, Microsoft Foundry (Azure AI Foundry), and Azure OpenAI, from concept through production.
- Architect retrieval-augmented generation (RAG) solutions grounded on Microsoft Graph (SharePoint, OneDrive, Dataverse), with secure retrieval, citation-based grounding, and access controls.
- Design agentic AI and multi-agent orchestration patterns — autonomy levels, human-in-the-loop checkpoints, and model selection (e.g., Azure OpenAI vs. Anthropic Claude) based on task fit, cost, and compliance.
- Define prompt engineering, orchestration logic, and conversational-design standards and reusable AI components.
- Architect intelligent document-processing and automation pipelines (deterministic rule gates, exception handling, audit/versioning) across Power Platform and Azure.
- Design AI governance and security frameworks — Agent 365 / Entra Agent ID, agent registries, DLP for AI, sensitivity labeling, retention, and Microsoft Purview posture management.
- Lead technical discovery workshops; translate business goals into solution blueprints, ROI/business cases, and implementation roadmaps.
- Support proposals and SOW scoping, level-of-effort estimation, and solution design across the practice’s AI offerings (Discovery → Pilot → At-Scale).
- Own solution architecture through implementation, hyper-care, and knowledge transfer; enforce ALM, CI/CD, and DevOps best practices across Power Platform and Azure.
- Build enterprise integrations via Microsoft Graph connectors and line-of-business systems (Salesforce, ServiceNow, ERP), Azure Functions/Logic Apps, and on-prem data gateways.
- Ensure all solutions are explainable, ethical, and compliant with responsible-AI and data-governance standards, including regulated / GCC High deployments.
- Mentor developers and consultants; run design reviews, contribute reusable accelerators, and help mature the firm’s AI delivery methodology.
Required Qualifications
- Minimum 15 years of experience in the technology industry, with at least 7 years in solution/AI architecture.
- Proven experience architecting generative-AI / LLM solutions in the Microsoft Azure ecosystem.
- Hands-on expertise with Microsoft Copilot Studio, Azure OpenAI, and Microsoft 365 Copilot extensibility (connectors, plugins, agents).
- Strong Power Platform architecture skills — Power Apps (canvas & model-driven), Power Automate, Dataverse, AI Builder.
- Solid Azure solution experience — Functions, Logic Apps, API Management, App Service, Key Vault, Azure SQL/Blob, managed identities, and REST API integration.
- Working command of RAG, prompt engineering, agentic AI, and model-lifecycle concepts.
- Proficiency in at least one of C#, Python, or JavaScript/TypeScript.
- Strong grounding in security, identity (Entra ID), governance, and responsible AI.
- Excellent communication, leadership, and stakeholder-management skills across technical and executive audiences.
Required Certifications
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
Preferred Qualifications
- Experience in regulated or government environments (GCC High), financial services, defense, or legal/IP.
- Familiarity with Microsoft Fabric / Power BI, Microsoft Graph APIs, and enterprise integration (Salesforce, ServiceNow, ERP).
Position Overview
Cambay Solutions — a Microsoft Solutions Partner and Great Place to Work®–certified team of 350+ Microsoft specialists — is scaling its AI practice across the Microsoft ecosystem. We help clients move from AI experimentation to production, delivering Copilot agents, generative-AI solutions, and intelligent automation across Microsoft 365, Copilot Studio, Azure AI, and the Power Platform, including regulated and government (GCC High) environments. We are seeking a highly experienced and visionary AI Principal Architect to own end-to-end solution architecture for client engagements — translating business problems into secure, scalable AI designs, guiding delivery teams through build, and serving as a trusted technical advisor across pre-sales, roadmap, and delivery. This is a remote-first role open to candidates based in the United States.
Key Responsibilities
- Lead the design of end-to-end AI solutions using Microsoft Copilot Studio, Microsoft Foundry (Azure AI Foundry), and Azure OpenAI, from concept through production.
- Architect retrieval-augmented generation (RAG) solutions grounded on Microsoft Graph (SharePoint, OneDrive, Dataverse), with secure retrieval, citation-based grounding, and access controls.
- Design agentic AI and multi-agent orchestration patterns — autonomy levels, human-in-the-loop checkpoints, and model selection (e.g., Azure OpenAI vs. Anthropic Claude) based on task fit, cost, and compliance.
- Define prompt engineering, orchestration logic, and conversational-design standards and reusable AI components.
- Architect intelligent document-processing and automation pipelines (deterministic rule gates, exception handling, audit/versioning) across Power Platform and Azure.
- Design AI governance and security frameworks — Agent 365 / Entra Agent ID, agent registries, DLP for AI, sensitivity labeling, retention, and Microsoft Purview posture management.
- Lead technical discovery workshops; translate business goals into solution blueprints, ROI/business cases, and implementation roadmaps.
- Support proposals and SOW scoping, level-of-effort estimation, and solution design across the practice’s AI offerings (Discovery → Pilot → At-Scale).
- Own solution architecture through implementation, hyper-care, and knowledge transfer; enforce ALM, CI/CD, and DevOps best practices across Power Platform and Azure.
- Build enterprise integrations via Microsoft Graph connectors and line-of-business systems (Salesforce, ServiceNow, ERP), Azure Functions/Logic Apps, and on-prem data gateways.
- Ensure all solutions are explainable, ethical, and compliant with responsible-AI and data-governance standards, including regulated / GCC High deployments.
- Mentor developers and consultants; run design reviews, contribute reusable accelerators, and help mature the firm’s AI delivery methodology.
Required Qualifications
- Minimum 15 years of experience in the technology industry, with at least 7 years in solution/AI architecture.
- Proven experience architecting generative-AI / LLM solutions in the Microsoft Azure ecosystem.
- Hands-on expertise with Microsoft Copilot Studio, Azure OpenAI, and Microsoft 365 Copilot extensibility (connectors, plugins, agents).
- Strong Power Platform architecture skills — Power Apps (canvas & model-driven), Power Automate, Dataverse, AI Builder.
- Solid Azure solution experience — Functions, Logic Apps, API Management, App Service, Key Vault, Azure SQL/Blob, managed identities, and REST API integration.
- Working command of RAG, prompt engineering, agentic AI, and model-lifecycle concepts.
- Proficiency in at least one of C#, Python, or JavaScript/TypeScript.
- Strong grounding in security, identity (Entra ID), governance, and responsible AI.
- Excellent communication, leadership, and stakeholder-management skills across technical and executive audiences.
Required Certifications
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
Preferred Qualifications
- Experience in regulated or government environments (GCC High), financial services, defense, or legal/IP.
- Familiarity with Microsoft Fabric / Power BI, Microsoft Graph APIs, and enterprise integration (Salesforce, ServiceNow, ERP).
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Top Industries Hiring
- Technology & Software
- Manufacturing
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Senior Level AI Solution Architect Jobs: Frequently Asked Questions
How do I get a senior level ai solution architect job?
Employers at this level look for candidates who have owned the full lifecycle of enterprise AI solutions, from architecture design through production deployment. What gives candidates an edge is demonstrated leadership on complex, cross-functional projects, deep fluency in cloud-native AI platforms, and the ability to align technical decisions with business outcomes. A portfolio of delivered solutions carries more weight than certifications alone.
Which companies hire senior level ai solution architects?
Companies hiring senior level ai solution architects right now include HP, Capgemini, and Protiviti, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to concentrate among large technology firms, management consulting practices, and enterprise organizations undergoing significant AI transformation initiatives.
Are there remote senior level ai solution architect jobs?
Yes, remote and hybrid options are widely available at this level. About 71% of senior level ai solution architect openings are remote or hybrid as of September 2026, reflecting strong employer demand for experienced architects who can lead distributed teams and deliver results without requiring on-site presence.
What makes an ai solution architect role senior level?
Senior level roles are defined by scope, ownership, and influence rather than task execution. At this stage, you are expected to set the architectural direction for AI systems, make final design calls, mentor junior and mid-level engineers, and serve as a technical authority for stakeholders across the business. The work shifts from contributing to individual components toward owning outcomes across entire platforms.
Which industries hire the most senior level ai solution architects?
Senior Level ai solution architect roles concentrate in Technology & Software, Manufacturing, and Staffing & Recruiting, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they are investing heavily in large-scale AI infrastructure, require architects who can navigate complex regulatory and data environments, and need experienced leaders to govern the adoption of AI across the enterprise.