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Internship Ai Solution Architect Jobs (NOW HIRING)

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

The AI Solution Architect plays a critical role in advancing JSSI's AI First engineering strategy and execution from concept to production. Reporting to the Director of Engineering, this role helps ...

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

The AI Solution Architect plays a critical role in advancing JSSI's AI First engineering strategy and execution from concept to production. Reporting to the Director of Engineering, this role helps ...

AI Solution Architect

Irving, TX · On-site

$150 - $190/hr

Review, propose, and develop solution architecture, ensuring application design aligns with the ... Core AI & Data Expertise * Data Engineering & Management * Agentic workflows * Multi‑Agent Design ...

AI Solution Architect

Quincy, MA · On-site

$66.25 - $87.25/hr

AI Solution Architect - Sr Job Location: Quincy, MA Job Type: Contract * Strong ongoing relationships with key business partners and managers within each business segment. * Builds and maintains ...

AI Solution Architect

Denver, CO · On-site

$64.75 - $85.50/hr

... end-to-end AI solutions in cloud environments Azure, AWS, GCP • Able to define the right technical direction, architecture, and solution approach for enterprise AI initiatives • Strong ...

About the Role We are seeking a MarTech AI Solution Architect to help design and deliver next-generation AI-enabled marketing and customer engagement solutions for enterprise clients across Financial ...

About the Role We are seeking a MarTech AI Solution Architect to help design and deliver next-generation AI-enabled marketing and customer engagement solutions for enterprise clients across Financial ...

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Internship Ai Solution Architect information

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$16

$70

$95

How much do internship ai solution architect jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship ai solution architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What is an internship AI solution architect?

An Internship AI Solution Architect is a student or recent graduate who assists in designing, developing, and deploying artificial intelligence solutions within an organization. This role typically involves learning how to translate business requirements into AI-driven systems, collaborating with teams to build machine learning models, and gaining hands-on experience with cloud platforms and AI tools. Interns in this position also help document solutions, troubleshoot technical issues, and stay updated with emerging AI technologies. The internship provides valuable exposure to real-world AI projects and helps prepare individuals for a career as a professional AI Solution Architect.

What are the key skills and qualifications needed to thrive as an internship AI solution architect, and why are they important?

To thrive as an Internship AI Solution Architect, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and ongoing studies in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS or Azure), and version control systems (e.g., Git) is typically required. Effective problem-solving, strong communication, and a collaborative mindset help interns contribute to technical discussions and teamwork. These skills enable interns to support the design and implementation of AI solutions that align with business objectives and technical requirements.

What is the difference between Internship Ai Solution Architect vs Data Analyst?

AspectInternship Ai Solution ArchitectData Analyst
Required CredentialsRelevant coursework, basic understanding of AI/ML, internship experienceDegree in Data Science, Statistics, or related field; some certifications
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageUsed in AI development projects, product teamsUsed for data interpretation, reporting, and decision-making

The Internship Ai Solution Architect role focuses on supporting AI solution development, requiring foundational AI knowledge and internship experience. In contrast, Data Analysts primarily interpret data to inform business decisions. Both roles are common in tech-driven industries but serve different functions within organizations.

What types of projects and responsibilities can an internship AI solution architect expect to handle during their internship?

As an intern AI Solution Architect, you can expect to participate in designing, prototyping, and evaluating AI-powered solutions under the guidance of senior architects. Typical responsibilities include assisting with data preparation, automating workflows, supporting model selection, and collaborating with cross-functional teams such as data scientists, software developers, and business stakeholders. You may also help document solution architectures, contribute to technical presentations, and learn best practices in deploying AI systems. This hands-on experience provides valuable exposure to real-world challenges and the end-to-end process of implementing AI solutions in a professional environment.
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What are the most commonly searched types of Ai Solution Architect jobs?

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What states have the most Internship Ai Solution Architect jobs?

States with the most job openings for Internship Ai Solution Architect jobs include:

Infographic showing various Internship Ai Solution Architect job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 4% Temporary, and 22% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.

$70.75 - $93.25/hr

Full-time

Re-posted 26 days ago


Job description

We are seeking a seasoned AI Architect with 12 years of overall technology experience including 5 years in hands on architecture leadership The ideal candidate will drive AI solutions from ideation to implementation lead performance fine tuning actively participate in RFPs and pre sales and architect robust solutions leveraging Azure AI services Azure OpenAI Service Azure AI Search Azure ML Cognitive Services Deep expertise in RAG architectures LLMs and a broad sound knowledge of Microsoft technologies NET Azure M365 Power Platform DevOps is essential.
Responsibility
• Support Partners in building their Agents Advisory practices and designing building and deploying sophisticated agents for their Enterprise Customers utilizing Copilot Studio Power Platform M365 Agents SDK and Copilot APIs
• Provide architectural guidance and advice to proactively help System integrators as the build customer solutions to avoid issues while removing roadblocks when encountered
• Help improve the platform by identifying product gaps and representing the voice of the customer within the Product team
• Help scale the platform by regularly publishing white papers blogs best practice guidance videos and tools to help others in the community learn from your expertise
• Work closely with the Microsoft sales field partners CSAs services operations customer success teams to help drive overall success for the System Integrator Partners and Microsoft
• Support partners and customers in US and EMEA time zones
• Ability to guide junior developers in the team Onshore and Offshore
• Provide the Weekly status report and keep all stakeholders updated on project status.
Skills
• 12 years in softwaresolution engineering with 5 years as Architect LeadPrincipal level
• Proven track record driving AI solutions from ideation to implementation in enterprise environments
• Expertise in RAG architectures and LLM application design prompting orchestration tool use grounding
• Hands on with Azure AI services
  • o Azure OpenAI Service assistantsLLM APIs prompt engineering costperf controls
  • o Azure AI Search vector search hybrid retrieval custom scoringreranking
  • o Azure ML training deployment model registry pipelines
  • o Cognitive Services Language Speech Vision

• RFPPre Sales experience solutioning proposal authoring estimations and customer workshops
• Microsoft technologies Copilot Studio Power Platform M365 Agents SDK and Copilot APIs Azure PaaS GitHubAzure DevOps SQL ServerCosmos DB API Management Event HubService Bus
• Solid grounding in securitycompliance identity Entra ID VNETPE Key Vault encryption data governance Responsible AI practices
• Excellent stakeholder management and documentation skills
• Excellent written and verbal communication skills with a strong attention to detail and a head for problem solving