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Entry Level Ai Architect Jobs (NOW HIRING)

Atonom

AI Strategy Consultant

Provo, UT · On-site

... 90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

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Entry Level Ai Architect information

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$46.5K

$128.8K

$201.5K

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

As of Aug 11, 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.

How do I become an entry level AI architect?

To become an entry-level AI architect, you should have a strong foundation in computer science, programming skills in languages like Python, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Earning a bachelor's degree in a related field and gaining experience through internships or projects can help develop relevant skills for designing AI systems.
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Entry Level Ai Architect jobs near you
Infographic showing various Entry Level Ai Architect job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

AI Strategy Consultant

Atonom

Provo, UT • On-site

Full-time

Medical, PTO

Re-posted 28 days ago

Job description

Salary: $50,000 to $90,000

AI Strategy Associate

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 $90,000 | Entry-Level / 02 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a AI Strategy Associate, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Analyze customer business processes to find high-impact opportunities for AI Cloud Employee deployment.
  • Join client calls to understand strategic goals and help translate them into AI workflows, including scoping use cases, defining success metrics, and shaping implementation plans.
  • Troubleshoot implementation issues by understanding both the business context and the technical root cause, with guidance from senior team members.
  • Document implementation outcomes, build case studies, and contribute to playbooks that capture what works.
  • Share product feedback with Engineering and Product teams, including market patterns, feature gaps, and customer pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Business, Strategy, Economics, Management, or a related field. Equivalent experience through internships or self-directed work counts too.
  • Curious about how businesses run. You like understanding operations, spotting inefficiencies, and thinking about where technology can help.
  • Interested in LLMs and prompt engineering. You don't need deep technical experience, but you've explored AI tools and thought about how they create business value.
  • A strong communicator who can connect technical capabilities to business outcomes and present ideas clearly to clients and internal teams.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.