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Entry Level Ai Architect Jobs (NOW HIRING)

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ... Exposure to generative AI, agentic AI, AIOps, zero trust, or other emerging technologies through ...

This entry-level role is ideal for early-career professionals who are technically curious, client ... Familiarity with large language model (LLM) tools and interest in using AI to enhance prototyping ...

Associate Solutions Architect - 1011

Moscow, ID · On-site

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Familiarity with large language model (LLM) tools and interest in using AI to enhance prototyping ...

Associate Solutions Architect - 1011

Moscow, ID · On-site

$54.75 - $72/hr

This entry-level role is ideal for early-career professionals who are technically curious, client ... Familiarity with large language model (LLM) tools and interest in using AI to enhance prototyping ...

... Level Entry Level Job Type & Location This is a Contract to Hire position based out of North ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

... Level Entry Level Job Type & Location This is a Contract to Hire position based out of North ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

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Entry Level Ai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do entry level ai architect jobs pay per year?

As of Jul 26, 2026, the average yearly pay for entry level ai architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI architects or machine learning executives, which offer compensation in that range due to their expertise, experience, and leadership responsibilities. Entry-level AI architect positions usually have lower salaries, but advanced roles involving strategic decision-making, complex model development, and cross-disciplinary skills can reach or exceed this figure in some organizations.

How much do entry-level AI architects make?

Entry-level AI architects typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Starting salaries may increase with skills in machine learning frameworks, programming languages, and cloud platforms.

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

AspectEntry Level Ai ArchitectData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certifications (e.g., AI certifications)Bachelor's or higher in CS, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentDesigning AI models, developing algorithms, working with AI frameworksAnalyzing data, building predictive models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Entry Level Ai Architects focus on designing and developing AI systems, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in primary responsibilities and skill emphasis.

How do I become an AI architect?

To become an AI architect, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree in a related field. Gaining experience with AI frameworks like TensorFlow or PyTorch, developing skills in programming languages such as Python, and understanding system architecture are essential. Certifications in AI or cloud platforms can also enhance your qualifications for designing and implementing AI solutions.

What are some common challenges faced by entry-level AI Architects when transitioning from academic projects to real-world enterprise environments?

Entry-level AI Architects often find the shift from academic settings to enterprise environments challenging due to differences in scale, complexity, and stakeholder expectations. In real-world projects, data is often messy, requirements can change rapidly, and solutions must integrate seamlessly with existing systems. Collaboration with cross-functional teams, such as data engineers, software developers, and business analysts, is key. Additionally, balancing innovation with practical constraints—like computing resources, security, and compliance—requires adaptability and strong communication skills.

What is an Entry Level AI Architect?

An Entry Level AI Architect is a professional who assists in designing, developing, and implementing artificial intelligence solutions within an organization. They typically work under the supervision of senior AI architects and collaborate with data scientists, engineers, and other IT professionals. Their responsibilities may include helping to create AI models, building data pipelines, and ensuring AI systems align with business goals. Entry level AI architects often focus on learning industry standards, best practices, and gaining hands-on experience with AI tools and platforms. This role is a stepping stone to more advanced AI architecture positions as professionals gain experience and expertise.

What are the key skills and qualifications needed to thrive as an Entry Level AI Architect, and why are they important?

To thrive as an Entry Level AI Architect, you need a solid background in computer science, mathematics, and machine learning principles, typically supported by a relevant degree or coursework. Familiarity with programming languages like Python, AI frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Azure is usually required. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with engineers and stakeholders. These skills ensure you can design and implement AI solutions that meet business needs and integrate smoothly with existing systems.

Can I get an AI job with no experience?

Entry level AI architect roles typically require some knowledge of programming, machine learning, and data analysis, but they may accept candidates with limited experience if they demonstrate strong foundational skills and relevant coursework or certifications. Gaining experience through online courses, projects, or internships can improve chances of securing such positions. Employers often look for a solid understanding of AI concepts and proficiency in tools like Python and TensorFlow, even at the entry level.
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Infographic showing various Entry Level Ai Architect job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Entry-Level AI & Preconstruction Technology Coordinator

Butler Recruitment Group

Cleveland, OH

$45K - $60K/yr

Full-time

Posted 3 days ago


Job description

That is a crucial clarification, and it completely changes the strategy. In the $45,000 to $60,000 salary range, you cannot hire a software engineer to code custom machine learning algorithms from scratch-and for most regional construction firms, you don't actually need one. At this price point, we are shifting the target from an AI Software Architect to an Entry-Level AI Implementer & Data Coordinator. You are looking for a tech-savvy recent graduate or junior analyst-a "power user" who will take existing, off-the-shelf AI software (like Togal.AI, Document Crunch, Bluebeam AI, and advanced ChatGPT/Claude prompting) and do the digital legwork to make your estimating operations 5x faster. Here is how the expectations change at this budget, followed by a completely rewritten job description designed to attract hungry, ambitious entry-level tech talent in Cleveland. How the Strategy Changes for $45k-$60k Attribute Previous Strategy ($115k+) New Strategy ($45k-$60k)

Candidate Profile Experienced Data Scientist / ML Engineer Recent College Grad, Junior IT, or Tech-Savvy Career Changer

Technical Focus Coding custom AI models & RAG pipelines from scratch Mastering off-the-shelf AI construction tools & advanced prompting

Data Role Architecting vector databases and cloud pipelines Organizing Excel sheets, cleaning historical bids, & manual data entry/export

Daily Value Building proprietary software Doing digital heavy-lifting so senior estimators can focus on pricing

Job Title: Entry-Level AI & Preconstruction Technology Coordinator Location: Cleveland, OH (100% On-Site) Department: Executive / Preconstruction Reports To: President & Owner Employment Type: Full-Time Compensation: $45,000 - $60,000 (commensurate with skills and aptitude) About the Role We are looking for an ambitious, tech-savvy AI & Preconstruction Technology Coordinator to help us modernize our commercial construction estimating operations. No prior construction experience is required. If you are fascinated by artificial intelligence, data organization, and new software tools, we will teach you the business of commercial construction from the ground up. Working 100% on-site at our Cleveland headquarters, you will report directly to the President & Owner. This is an exceptional launchpad for a junior professional who wants to bypass corporate bureaucracy and work hand-in-hand with executive leadership. You will act as our internal "tech pilot"-learning, testing, and running cutting-edge AI construction software to help our estimating team automate quantity takeoffs, analyze project specifications, and organize decades of historical cost data. What You Will Do 1. Operate AI Estimating Software

  • Automate Takeoffs: Learn and operate industry-leading AI takeoff software (such as Togal.AI, Bluebeam Revu, or Kreo) to rapidly generate initial 2D measurements and square footage counts from architectural blueprints.
  • Specification Analysis: Use large language model (LLM) tools and specialized software (like Document Crunch or ChatGPT Enterprise) to scan massive 500-page project specification books, searching for key terms, risks, insurance requirements, and unusual exclusions.
  • Software Champion: Act as the internal go-to expert for all preconstruction software, troubleshooting day-to-day issues and helping traditional estimators utilize new digital tools. 2. Data Cleanup & Organization
  • Build Cost Spreadsheets: Take historical project bids, subcontractor quotes, and paper notes, and input them into clean, standardized Excel spreadsheets or internal databases.
  • Track Local Pricing: Maintain a running digital ledger of Northeast Ohio regional material costs, labor rates, and subcontractor pricing trends to help the team bid more accurately.
  • File Management: Organize digital blueprint files, addenda, and RFIs (Requests for Information) within our project management software (Procore, Autodesk Construction Cloud, or network drives) so the estimating team has instant access to clean data. 3. Direct Support to the Owner & Estimating Team
  • Shadow Senior Estimators: Sit alongside veteran construction professionals to learn how buildings are priced, assembled, and won in the competitive Cleveland market.
  • Process Improvement: Continuously look for simple ways to save time using technology-whether that means writing an Excel macro, creating a better email template for subcontractor outreach, or automating a reporting workflow. What You Bring to the Team Required Qualifications
  • Education: Associate's or Bachelor's degree in Business Administration, Information Technology, Data Analytics, Construction Management, or general studies (or equivalent self-taught technical aptitude / bootcamp completion).
  • Experience: 0-2 years of professional ex