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, Banking & Financial Services, and Investment & Asset Management, with a strong mix of remote and on-site positions, and employers like CVS Health, Intel, and Goldman Sachs hiring at this level now.
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Job Overview:
Lead Azure AI Solution Architect
Department: IT Corporate Analytics & Automation Location: Remote (Dallas, TX) Type: Full-Time
About the Role
We're seeking a Lead Azure AI Solution Architect to design and deliver enterprise AI solutions on Microsoft Azure and the Microsoft AI platform. This senior, hands-on role translates business objectives into well-architected AI capabilities, defines implementation patterns, leads PoCs and reference implementations, and guides engineering teams.
What You'll Do
- Lead AI solution architecture. Design architectures for generative and agentic AI initiatives, including RAG patterns, multi-agent systems, and AI-enabled business applications. Produce reusable patterns for engineering teams.
- Architect AI workloads on Azure. Design solutions using Azure OpenAI, Azure AI Search, Azure AI Foundry, App Service, Functions, Logic Apps, Cosmos DB, and supporting services. Partner with security to align solutions with approved standards.
- Define implementation patterns. Establish design standards and quality bars for AI implementations using SOLID principles, Clean Architecture, appropriate Gang of Four patterns, and cloud-native practices. Conduct architecture reviews and author ADRs.
- Build capability-focused PoCs. Prototype AI capabilities to validate feasibility, demonstrate patterns, de-risk delivery, and create examples engineers can extend into production.
- Partner with stakeholders. Translate business objectives into AI architectures, feasibility assessments, and solution-fit recommendations. Present recommendations to senior leadership in business-relevant language.
- Evaluate AI tooling. Assess AI frameworks, agent libraries, and integration tooling for functional fit, technical capability, and enterprise suitability.
- Guide Engineering implementation. Provide direction on C#/.NET architecture, frontend patterns (Blazor, React), API design, and data architecture across SQL Server, Cosmos DB, and vector stores.
- Mentor engineering talent. Mentor engineers, support technical interviews, calibrate hiring decisions, and help grow the AI engineering function.
- Maintain technical currency. Track Azure AI and generative/agentic AI advances, including Model Context Protocol, agentic RAG, and fine-tuning. Apply emerging capabilities when they deliver business value.
- Establish LLMOps practices. Define approaches for prompt/version management, RAG quality testing, model and prompt evaluation, telemetry, feedback loops, and deployment governance.
- Support production readiness. Guide AI solutions from PoC to production by addressing observability, evaluation, latency, cost, resiliency, monitoring, and supportability.
Required Qualifications
- Bachelor’s degree in computer science, Information Technology, or a related field.
- 10+ years of progressive software engineering experience, with at least 5 years in a solution architecture capacity. Demonstrated experience designing and delivering cloud-based solutions.
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Hands-on Azure solution design experience with Azure OpenAI, Azure AI Search, Azure AI Foundry, App Service, Functions, Logic Apps, Cosmos DB, and Entra ID.
- Experience designing generative and agentic AI patterns, including RAG, prompt engineering, multi-agent systems, orchestration, and tool/function calling.
- Strong C#/.NET architecture background with working knowledge of Blazor or React.
- Strong data architecture skills across SQL Server, Cosmos DB, MongoDB, and vector stores for AI workloads.
- Proficiency with Azure DevOps, YAML pipelines, and modern CI/CD practices.
- Strong executive communication skills, with a track record of presenting technical recommendations to senior leadership and translating between business and engineering audiences.
- Demonstrated ability to mentor engineers and influence technical direction across cross-functional teams.
- Strong understanding of SOLID principles, Clean Architecture, design patterns, API design, and cloud-native application design.
Preferred Qualifications
- Master’s degree in computer science or a related field.
- Microsoft Certified: Azure Developer Associate (AZ-204).
- Experience with Microsoft Agent Framework and .NET agent orchestration.
- Experience implementing MCP or Agentic RAG in production.
- Experience fine-tuning and deploying AI models.
- Working knowledge of Python for AI/ML prototyping.
- Experience with Bicep or infrastructure-as-code.
- Experience partnering with security and architecture teams in regulated or critical-infrastructure environments.
About the Team
You’ll join the IT Corporate Analytics & Automation team, which leads Primoris’s enterprise AI strategy. As the Lead Azure AI Solution Architect, you’ll work with engineering, business stakeholders, security, architecture, and executive leadership to deliver measurable AI value through well-architected, compliant solutions.
About Primoris
Primoris Services Corporation (NYSE: PRIM) is a premier specialty contractor providing critical infrastructure services to the utility, energy, and renewables markets across the United States and Canada. With a foundation built on trust, we deliver engineering, construction, and maintenance services that power, connect, and enhance society. Learn more at www.prim.com.
Benefits
- 401(k) with employer match
- Health, dental, and vision insurance
- Paid time off and 10 paid holidays
- Employee stock purchase plan
- Remote work flexibility
Primoris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Company Overview:
Primoris Services Corporation is a premier specialty contractor providing critical infrastructure services to the utility, energy, and renewables markets throughout the United States and Canada. Built on a foundation of trust, we deliver a range of engineering, construction, and maintenance services that power, connect, and enhance society. On projects spanning utility-scale solar, renewables, power delivery, communications, and transportation infrastructure, we offer unmatched value to our clients, a safe and entrepreneurial culture to our employees, and innovation and excellence to our communities. To learn more, visit www.prim.com and follow us on social media at @PrimorisServicesCorporation.Benefits:
401k w/employer match
Health/Dental/Vision insurance plans
Paid time off
10 paid holidays
Stock purchase plan
EEO Statement
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Agency Statement
We are not accepting resumes from Third Party Recruiting Firms for this position. If you are an Agency or Search firm representative, contact the Primoris Talent Acquisition Manager directly for consideration. Primoris or its subsidiaries will not be responsible for any fees arising from the use of resumes and online response forms through this source. In addition, Primoris or its subsidiaries will not be responsible for any fees on unsolicited resumes that are submitted to any member of the Staffing or Operations team. Primoris has established an approved vendor program for this service and will only consider accepting submissions from those approved firms. For consideration in becoming an approved vendor, contact HR.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Job Overview:
Lead Azure AI Solution Architect
Department: IT Corporate Analytics & Automation Location: Remote (Dallas, TX) Type: Full-Time
About the Role
We're seeking a Lead Azure AI Solution Architect to design and deliver enterprise AI solutions on Microsoft Azure and the Microsoft AI platform. This senior, hands-on role translates business objectives into well-architected AI capabilities, defines implementation patterns, leads PoCs and reference implementations, and guides engineering teams.
What You'll Do
- Lead AI solution architecture. Design architectures for generative and agentic AI initiatives, including RAG patterns, multi-agent systems, and AI-enabled business applications. Produce reusable patterns for engineering teams.
- Architect AI workloads on Azure. Design solutions using Azure OpenAI, Azure AI Search, Azure AI Foundry, App Service, Functions, Logic Apps, Cosmos DB, and supporting services. Partner with security to align solutions with approved standards.
- Define implementation patterns. Establish design standards and quality bars for AI implementations using SOLID principles, Clean Architecture, appropriate Gang of Four patterns, and cloud-native practices. Conduct architecture reviews and author ADRs.
- Build capability-focused PoCs. Prototype AI capabilities to validate feasibility, demonstrate patterns, de-risk delivery, and create examples engineers can extend into production.
- Partner with stakeholders. Translate business objectives into AI architectures, feasibility assessments, and solution-fit recommendations. Present recommendations to senior leadership in business-relevant language.
- Evaluate AI tooling. Assess AI frameworks, agent libraries, and integration tooling for functional fit, technical capability, and enterprise suitability.
- Guide Engineering implementation. Provide direction on C#/.NET architecture, frontend patterns (Blazor, React), API design, and data architecture across SQL Server, Cosmos DB, and vector stores.
- Mentor engineering talent. Mentor engineers, support technical interviews, calibrate hiring decisions, and help grow the AI engineering function.
- Maintain technical currency. Track Azure AI and generative/agentic AI advances, including Model Context Protocol, agentic RAG, and fine-tuning. Apply emerging capabilities when they deliver business value.
- Establish LLMOps practices. Define approaches for prompt/version management, RAG quality testing, model and prompt evaluation, telemetry, feedback loops, and deployment governance.
- Support production readiness. Guide AI solutions from PoC to production by addressing observability, evaluation, latency, cost, resiliency, monitoring, and supportability.
Required Qualifications
- Bachelor’s degree in computer science, Information Technology, or a related field.
- 10+ years of progressive software engineering experience, with at least 5 years in a solution architecture capacity. Demonstrated experience designing and delivering cloud-based solutions.
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Hands-on Azure solution design experience with Azure OpenAI, Azure AI Search, Azure AI Foundry, App Service, Functions, Logic Apps, Cosmos DB, and Entra ID.
- Experience designing generative and agentic AI patterns, including RAG, prompt engineering, multi-agent systems, orchestration, and tool/function calling.
- Strong C#/.NET architecture background with working knowledge of Blazor or React.
- Strong data architecture skills across SQL Server, Cosmos DB, MongoDB, and vector stores for AI workloads.
- Proficiency with Azure DevOps, YAML pipelines, and modern CI/CD practices.
- Strong executive communication skills, with a track record of presenting technical recommendations to senior leadership and translating between business and engineering audiences.
- Demonstrated ability to mentor engineers and influence technical direction across cross-functional teams.
- Strong understanding of SOLID principles, Clean Architecture, design patterns, API design, and cloud-native application design.
Preferred Qualifications
- Master’s degree in computer science or a related field.
- Microsoft Certified: Azure Developer Associate (AZ-204).
- Experience with Microsoft Agent Framework and .NET agent orchestration.
- Experience implementing MCP or Agentic RAG in production.
- Experience fine-tuning and deploying AI models.
- Working knowledge of Python for AI/ML prototyping.
- Experience with Bicep or infrastructure-as-code.
- Experience partnering with security and architecture teams in regulated or critical-infrastructure environments.
About the Team
You’ll join the IT Corporate Analytics & Automation team, which leads Primoris’s enterprise AI strategy. As the Lead Azure AI Solution Architect, you’ll work with engineering, business stakeholders, security, architecture, and executive leadership to deliver measurable AI value through well-architected, compliant solutions.
About Primoris
Primoris Services Corporation (NYSE: PRIM) is a premier specialty contractor providing critical infrastructure services to the utility, energy, and renewables markets across the United States and Canada. With a foundation built on trust, we deliver engineering, construction, and maintenance services that power, connect, and enhance society. Learn more at www.prim.com.
Benefits
- 401(k) with employer match
- Health, dental, and vision insurance
- Paid time off and 10 paid holidays
- Employee stock purchase plan
- Remote work flexibility
Primoris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Company Overview:
Primoris Services Corporation is a premier specialty contractor providing critical infrastructure services to the utility, energy, and renewables markets throughout the United States and Canada. Built on a foundation of trust, we deliver a range of engineering, construction, and maintenance services that power, connect, and enhance society. On projects spanning utility-scale solar, renewables, power delivery, communications, and transportation infrastructure, we offer unmatched value to our clients, a safe and entrepreneurial culture to our employees, and innovation and excellence to our communities. To learn more, visit www.prim.com and follow us on social media at @PrimorisServicesCorporation.Benefits:
401k w/employer match
Health/Dental/Vision insurance plans
Paid time off
10 paid holidays
Stock purchase plan
EEO Statement
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Agency Statement
We are not accepting resumes from Third Party Recruiting Firms for this position. If you are an Agency or Search firm representative, contact the Primoris Talent Acquisition Manager directly for consideration. Primoris or its subsidiaries will not be responsible for any fees arising from the use of resumes and online response forms through this source. In addition, Primoris or its subsidiaries will not be responsible for any fees on unsolicited resumes that are submitted to any member of the Staffing or Operations team. Primoris has established an approved vendor program for this service and will only consider accepting submissions from those approved firms. For consideration in becoming an approved vendor, contact HR.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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Find JobsSenior Level AI Solution Architect Job Market
Who's Hiring
- CVS Health4
- Intel3
- Goldman Sachs3
- Atos2
- Citi2
Top Industries Hiring
- Technology & Software19
- Banking & Financial Services9
- Investment & Asset Management9
- Healthcare & Medical Services8
- Electronics & Hardware4
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 CVS Health, Intel, and Goldman Sachs, based on current listings on Migrate Mate as of July 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 49% of senior level ai solution architect openings are remote or hybrid as of July 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, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 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.