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Entry Level Ai Solution Architect Jobs (NOW HIRING)

Digital Links Inc

AI Solution Architect

Princeton, NJ · On-site

$66 - $87/hr

AI understanding Solution Architect Location: Princeton, NJ Programming Expertise: Strong hands-on proficiency in: Python: The primary language for AI/ML development (with frameworks like Django ...

C1

AI Solution Architect I

$64.50 - $85/hr

Overview Summary The AI Solutions Architect is a customer-facing role supporting Sales Engineering teams across Infrastructure and Collaboration Solutions, this role blends AI, data analytics ...

Kent Moore Cabinets

AI Solutions Architect

Bryan, TX · On-site

$85K - $105K/yr

Entry-Level AI Solutions Architect Kent Moore Cabinets | Bryan, Texas | Full-Time Reports to: VP of Development About KMC Kent Moore Cabinets is a Texas-based cabinet manufacturer serving ...

Stellantis

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

This is a role on the "PDT AI Solutions Program Team". The team is responsible for spreading and ... The role is that of a Solution Architect. In summary, that role is responsible for proposing ...

UrBench

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Job Title: Solution Architect (Conversational AI) Chicago 2 days/week at Willis long term contract 1 year will extend. 3-4 year program to modernize tech stack Need Local Candidate please ...

Programmers.io

Solution Architect

Bodega Bay, CA · On-site

$74.75 - $98.50/hr

* Solution Architect for o9 with implementation experience preferably in supply plan. Good to have ... Good to have AI skills. * Client engagement and advisory in supply chain.

Programmers.io

Azure Solution Architect

Montvale, NJ · On-site

$66.50 - $86.50/hr

Azure AI Services: - Solid understanding of all Azure AI Services and Handson Experience. The candidate with AI-102 certification is preferred along with Azure Solutions Architect Certification ...

CDW

AI Sales Solutions Architect

Concord, NC · On-site +1

$58.75 - $77.25/hr

AWS Solution Architect - Professional Certification (required within 6 months of hire) * AWS ... We value adopting AI as a partner, openness to experimentation, and a shared interest in learning ...

CDW

AI Sales Solutions Architect

$64.50 - $85/hr

AWS Solution Architect - Professional Certification (required within 6 months of hire) * AWS ... We value adopting AI as a partner, openness to experimentation, and a shared interest in learning ...

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All JobsEntry Level Ai Solution Architect Jobs

Entry Level Ai Solution Architect information

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How much do entry level ai solution architect jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for entry level 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 are the key skills and qualifications needed to thrive as an Entry Level AI Solution Architect, and why are they important?

To thrive as an Entry Level AI Solution Architect, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree such as computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or Google Cloud), and basic certifications in these technologies are typically expected. Strong problem-solving abilities, effective communication, and a willingness to learn enable you to collaborate with technical teams and explain complex AI concepts to stakeholders. These skills are crucial for designing practical AI solutions that meet business needs and for progressing in the rapidly evolving field of artificial intelligence.

What are some common challenges faced by entry level AI Solution Architects, and how can they overcome them?

Entry level AI Solution Architects often encounter challenges like bridging the gap between technical AI solutions and business requirements, as well as keeping pace with rapidly evolving technologies. Collaborating with experienced team members, participating in cross-functional meetings, and seeking mentorship can help build confidence and clarify expectations. Proactively engaging in continuous learning and hands-on projects is also key to overcoming knowledge gaps and adapting to new tools or methodologies. Open communication and willingness to ask questions can greatly ease the transition into this dynamic role.

How to get into AI Solutions Architect?

To become an AI Solutions Architect, develop a strong foundation in computer science, machine learning, and cloud platforms like AWS or Azure. Gaining experience with AI tools, programming languages such as Python, and earning relevant certifications can improve your qualifications for this role.

How much do entry-level AI architects make?

Entry-level AI solution architects typically earn between $70,000 and $100,000 annually, depending on location, industry, and company size. Starting salaries may increase with relevant skills in machine learning, programming, and cloud platforms like AWS or Azure.

What is an Entry Level AI Solution Architect?

An Entry Level AI Solution Architect is a professional who helps design and implement artificial intelligence solutions for businesses, typically under the guidance of senior architects. They assist in analyzing client requirements, selecting appropriate AI technologies, and supporting the integration of AI models into existing systems. While they are early in their careers, they often collaborate closely with data scientists, software engineers, and other stakeholders to ensure successful project delivery. Their role is crucial for bridging the gap between business needs and technical solutions in the field of AI.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI solutions architects, machine learning directors, or AI executives, often found in large tech companies or specialized firms. These positions require extensive experience, advanced skills in AI and machine learning tools, and often involve leadership responsibilities and strategic decision-making.

Can I get an AI job with no experience?

Entry level AI solution architect roles typically require some foundational knowledge of AI concepts, programming skills, and familiarity with tools like Python and machine learning frameworks. While prior experience is often preferred, candidates can qualify through relevant coursework, certifications, or personal projects demonstrating their understanding of AI technologies.

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

AspectEntry Level Ai Solution ArchitectData Analyst
Required CredentialsBachelor's in CS, AI, or related field; familiarity with AI toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentDesigning AI solutions, collaborating with developers and stakeholdersAnalyzing data sets, creating reports, supporting decision-making
Employer & Industry UsageTech companies, AI startups, consulting firmsBusiness, finance, healthcare, marketing sectors

While both roles require analytical skills and familiarity with data tools, the Entry Level Ai Solution Architect focuses on designing AI systems and solutions, whereas the Data Analyst primarily interprets data to inform business decisions. The architect role involves understanding AI frameworks and collaborating on technical implementations, making it more technical than the data analyst position.

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Entry Level Ai Solution Architect jobs near you

AI Solution Architect

Digital Links Inc

Princeton, NJ • On-site

$66 - $87/hr

Contractor

Posted 14 days ago

Job description

Role: AI understanding Solution Architect
Location: Princeton, NJ
 
Programming Expertise: Strong hands-on proficiency in:
Python: The primary language for AI/ML development (with frameworks like Django, Flask, or FastAPI).
React JS: For building dynamic and data-driven user interfaces.
Related Technologies: JavaScript/TypeScript, Node.js (often used for the backend), and database systems (SQL and NoSQL).
AI/ML Knowledge: Deep understanding of AI/ML concepts, including natural language processing (NLP), deep learning, generative AI, RAG architectures, and MLOps practices.
Cloud Proficiency: Experience with cloud platforms (AWS, Azure, or GCP) and related services, including containerization (Docker, Kubernetes) and CI/CD pipelines.
Architectural Skills: Proven experience in solution or system architecture, microservices design, API development (RESTful, GraphQL), and data architecture.
Soft Skills: Excellent problem-solving, analytical, leadership, and communication skills to effectively manage cross-functional teams and stakeholders.