2

Entry Level Ai Architect Jobs (NOW HIRING)

Artificial Intelligence Architect

Ogden, UT

$61.75 - $81.25/hr

We are building an internal AI sandbox and are looking for a high level AI architect to lead it. This is not an entry level AI role. This is not a research only position. This is a build and deploy ...

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 ...

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 homebuilders ...

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 ...

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 ...

next page

Showing results 1-20

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 Jun 10, 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 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.

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.
More about Entry Level Ai Architect jobs
What cities are hiring for Entry Level Ai Architect jobs? Cities with the most Entry Level Ai Architect job openings:
What are the most commonly searched types of Ai Architect jobs? The most popular types of Ai Architect jobs are:
What states have the most Entry Level Ai Architect jobs? States with the most job openings for Entry Level Ai Architect jobs include:
Infographic showing various Entry Level Ai Architect job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Artificial Intelligence Architect

Artificial Intelligence Architect

Murphy Door

Ogden, UT

$61.75 - $81.25/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Artificial Intelligence Architect


Murphy Door

Utah Based | On Site | Full Time

Murphy Door is the world leader in hidden door systems and multifunctional furniture. We operate highly automated manufacturing facilities in Utah and Kentucky and design, engineer, and manufacture our own hardware, products, and systems.

We are building an internal AI sandbox and are looking for a high level AI architect to lead it.

This is not an entry level AI role. This is not a research only position. This is a build and deploy role inside a real operating company.

The Mission


Your job is to identify, build, and deploy AI systems that create real operational advantage.

You will:

• Design and implement internal AI agents

• Build copilots for sales, engineering, manufacturing, and support

• Create automation pipelines using LLMs and agent frameworks

• Implement RAG systems and knowledge retrieval environments

• Integrate APIs across internal tools and systems

• Experiment with emerging frameworks such as OpenClaw and advanced agent orchestration tools

• Rapidly prototype and deploy working solutions into production

• Stay ahead of AI trends and apply them before competitors do

We are not looking for someone to write reports about AI.

We are looking for someone to build systems that improve margin, throughput, and speed.

What We Care About


We care about depth, not degrees.

You should have hands on experience with:

• Large language models and prompt engineering at an advanced level

• Agent based systems and task orchestration

• Embeddings, vector databases, and retrieval systems

• Python or similar scripting languages

• API integrations and workflow automation

• Cloud and local deployment environments

• Data pipelines and structured data environments

• AI security considerations in business systems

If you have built working AI systems outside of tutorials, we want to talk to you.

The Environment


You will work directly with leadership and cross functional teams.

If you build something that works, it will be implemented quickly.

You will have real manufacturing systems, real sales teams, and real operational data to improve.

This is a high autonomy role for someone who does not need hand holding and enjoys building from scratch.

Ideal Candidate


• Self driven and highly curious

• Comfortable experimenting and shipping fast

• Able to explain complex AI systems in simple terms

• Motivated by building unfair competitive advantage

• Excited by solving real world business problems with AI

Compensation


Competitive salary plus performance based upside tied to measurable impact.

How To Apply


Send:

• A short description of a real AI system you built

• Portfolio, GitHub, or project links

• A brief explanation of how you would apply AI inside a manufacturing company

We are not looking for surface level familiarity.

We are looking for someone who lives this space.

If you want to build AI inside a company that actually moves fast and deploys what you create, apply.


Full benefit package available including Health, Dental, Vision, and Life

4% Matching 401K