AI Solution Architect Jobs
AI Solution Architect jobs are open across technology, financial services, healthcare, and manufacturing, from mid-level to principal and distinguished engineer, with specializations in generative AI, cloud-native AI platforms, and enterprise MLOps. Find a role that fits from the openings below and apply directly.
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Position: Solution Architect IV – AI & Automation
Location: Atlanta, GA
Duration: 5 Months
Client: Southern Company Services
Southern Company Services is seeking an experienced Solution Architect IV to lead the design, development, and production deployment of enterprise AI, machine learning, automation, and agentic AI solutions.
This role combines architecture leadership with hands-on engineering. The ideal candidate will define technical standards, build production-grade solutions, guide engineering teams, and ensure systems meet enterprise requirements for security, scalability, compliance, responsible AI, observability, and operational support.
Key Responsibilities
· Design enterprise AI, machine learning, automation, and agentic AI solutions.
· Develop architectures for LLM applications, AI agents, RAG solutions, vector databases, APIs, and enterprise integrations.
· Build and support production-grade software solutions and reusable technical components.
· Lead architecture reviews and provide technical direction to engineering teams.
· Partner with product, engineering, cloud, data, cybersecurity, and business stakeholders.
· Create solution designs, technical specifications, implementation plans, and engineering standards.
· Support delivery planning, work allocation, risk management, and production escalations.
· Ensure solutions align with enterprise security, governance, compliance, scalability, reliability, and observability standards.
Required Qualifications
· 10+ years of experience in solution architecture, software engineering, or enterprise architecture.
· Experience leading enterprise AI, machine learning, automation, or agentic AI initiatives from design through deployment.
· Strong expertise in LLMs, AI agent frameworks, RAG, vector databases, APIs, cloud platforms, and enterprise integration.
· Hands-on experience designing and building scalable, production-grade applications.
· Experience leading technical teams and conducting architecture reviews.
· Strong understanding of responsible AI, cybersecurity, compliance, observability, and operational-support models.
· Strong communication, leadership, and problem-solving skills.
Preferred Qualifications
· Experience with Azure, AWS, or Google Cloud Platform.
· Familiarity with containers, Kubernetes, microservices, CI/CD, and API management.
· Experience with AI governance, model evaluation, monitoring, logging, and performance optimization.
· Utility, energy, or regulated-industry experience is preferred.
Position: Solution Architect IV – AI & Automation
Location: Atlanta, GA
Duration: 5 Months
Client: Southern Company Services
Southern Company Services is seeking an experienced Solution Architect IV to lead the design, development, and production deployment of enterprise AI, machine learning, automation, and agentic AI solutions.
This role combines architecture leadership with hands-on engineering. The ideal candidate will define technical standards, build production-grade solutions, guide engineering teams, and ensure systems meet enterprise requirements for security, scalability, compliance, responsible AI, observability, and operational support.
Key Responsibilities
· Design enterprise AI, machine learning, automation, and agentic AI solutions.
· Develop architectures for LLM applications, AI agents, RAG solutions, vector databases, APIs, and enterprise integrations.
· Build and support production-grade software solutions and reusable technical components.
· Lead architecture reviews and provide technical direction to engineering teams.
· Partner with product, engineering, cloud, data, cybersecurity, and business stakeholders.
· Create solution designs, technical specifications, implementation plans, and engineering standards.
· Support delivery planning, work allocation, risk management, and production escalations.
· Ensure solutions align with enterprise security, governance, compliance, scalability, reliability, and observability standards.
Required Qualifications
· 10+ years of experience in solution architecture, software engineering, or enterprise architecture.
· Experience leading enterprise AI, machine learning, automation, or agentic AI initiatives from design through deployment.
· Strong expertise in LLMs, AI agent frameworks, RAG, vector databases, APIs, cloud platforms, and enterprise integration.
· Hands-on experience designing and building scalable, production-grade applications.
· Experience leading technical teams and conducting architecture reviews.
· Strong understanding of responsible AI, cybersecurity, compliance, observability, and operational-support models.
· Strong communication, leadership, and problem-solving skills.
Preferred Qualifications
· Experience with Azure, AWS, or Google Cloud Platform.
· Familiarity with containers, Kubernetes, microservices, CI/CD, and API management.
· Experience with AI governance, model evaluation, monitoring, logging, and performance optimization.
· Utility, energy, or regulated-industry experience is preferred.
AI Solution Architect Jobs by Experience Level
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Who's Hiring
Top Industries Hiring
- Technology & Software12
- Manufacturing2
- Consulting & Professional Services2
- Fintech1
- Insurance1
What Employers Look For
The qualifications that appear most often in AI solution architect jobs.
- 5 or more years of experience designing and deploying AI or ML solutions at enterprise scale
- Proficiency with cloud AI services on AWS, Azure, or Google Cloud Platform
- Experience with large language models, generative AI frameworks, or foundation model integration
- Strong background in data architecture, including pipelines, feature stores, and model serving infrastructure
- Ability to communicate technical architecture decisions to non-technical executive stakeholders
- Bachelor's or master's degree in computer science, engineering, or a closely related technical field
Tips for Your AI Solution Architect Job Search
Tailor your resume to architecture layers
Hiring managers for ai solution architect roles scan for evidence you've designed end-to-end AI systems, not just built models. Call out the integration layer, data pipeline decisions, and trade-offs you owned in each project, not just the tools you used.
Show cloud certification depth not breadth
Having AWS, Azure, and GCP badges looks unfocused to most hiring panels. Pick the platform your target employer runs and lead with the professional-level AI or ML specialty certification for that platform. It signals real deployment experience, not course completions.
Filter openings by stack before applying
Many ai solution architect postings list identical titles but mean very different roles: one is pre-sales, another is internal platform engineering. Read the requirements past the first paragraph to confirm the role centers on technical design, not client demos or sales support.
Apply early to roles that fit
Migrate Mate lists ai solution architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design portfolio piece
Interviewers for ai solution architect positions routinely ask you to whiteboard a production AI system from scratch. Having one well-documented architecture you designed, including your reasoning on scalability, latency, and cost, gives you a concrete answer rather than a hypothetical.
Negotiate scope before negotiating title
Once you have an offer, clarify whether the role owns architecture decisions or advises them. An advisory role with an architect title limits your portfolio growth. Confirm who you report to, what decisions require sign-off, and whether you have budget authority before accepting.
AI Solution Architect Jobs: Frequently Asked Questions
Which companies are hiring the most ai solution architects?
The companies hiring the most ai solution architects right now include ServiceNow, Lenovo, and Tms, with the largest share of openings in Texas, Florida, and Illinois, based on current listings on Migrate Mate as of August 2026. Demand is concentrated at large technology vendors, cloud platform providers, and enterprise consulting firms with active AI transformation practices.
How many ai solution architect jobs are remote?
About 78% of ai solution architect openings are fully remote or hybrid as of August 2026, making it one of the more distributed roles in enterprise technology hiring. Sub-areas that skew most remote include generative AI integration work, pre-sales architecture, and platform consulting, where client delivery happens over video rather than on-site.
How do you become an ai solution architect?
Start by building hands-on depth in one cloud platform's AI and ML services, then move into roles where you own system design rather than individual model development. Pursue a professional-level AI or ML certification, document two or three complete architectures you designed from requirements through production deployment, and practice explaining your technical trade-off decisions to non-technical audiences, since that communication skill is what separates architects from senior engineers in most hiring processes.
Can you get an ai solution architect job with little experience?
Getting hired directly into an ai solution architect role with no prior architecture experience is uncommon, but transitioning from a senior data engineer, ML engineer, or cloud solutions engineer position is a realistic path. Build a public portfolio of system design artifacts, contribute to open-source AI infrastructure projects, and target smaller companies or startups where the architect title covers a broader scope and the bar for prior experience is lower than at large enterprises.
What does the ai solution architect interview process look like?
The process typically runs across four to five stages: an initial recruiter screen, a hiring manager conversation focused on your architecture background and leadership style, a technical system design round where you design an AI solution live on a whiteboard or shared doc, a panel interview with engineering and product stakeholders, and a final leadership or executive conversation. Some employers add a take-home design case or ask you to present a past architecture to the panel.
Where can I find and apply to ai solution architect jobs?
You can find and apply to ai solution architect jobs on Migrate Mate, which lists current openings from companies across the United States. Search the listings to find roles that match your background and apply directly to each one that fits.
See All 65 AI Solution Architect Jobs
Find roles that match your experience and apply in just a few clicks.
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