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Entry Level Ai Architect Jobs (NOW HIRING)

... 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.

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

AI Implementation Specialist

Provo, UT · On-site

$50K - $90K/yr

... 90,000 Experience: Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

... 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.

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

... 90,000 Experience: Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

AI Strategy Consultant

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

AI Implementation Specialist

Provo, UT · On-site

$50K - $90K/yr

... 90,000 Experience: Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

... 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.

AI Data Engineer

Provo, UT

$109K - $131K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.

Showing results 21-40

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 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.
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 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.

Full-time

This job post has expired today. Applications are no longer accepted.


MassMutual rating

7.8

Company rating: 7.8 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

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Job description

AI Platform Engineer | AI Platform Engineering
Full-Time
Hybrid Onsite (3 days/week)
The Opportunity
MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work.
The Team
This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching.
The Impact
  • Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together.
  • Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team.
  • Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems.
  • Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time.
  • Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work.
  • Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers.
  • Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams.
  • Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence.

The Minimum Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field
  • Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification.
  • 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc).

The Ideal Qualifications
  • Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count.
  • Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code.
  • Curiosity about AI/ML systems and an interest in how models are deployed and served in production.
  • Strong written and verbal communication and a genuine eagerness to learn from feedback.
  • Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects.
  • Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD.
  • Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level.
  • A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building.
  • Experience collaborating on a team project such as a capstone, hackathon, or group assignment.
  • Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space.

What to Expect as Part of MassMutual and the Team
  • Structured onboarding and a dedicated mentor to support your ramp-up and early growth
  • Regular meetings with the AI Platform Engineering team
  • Focused one-on-one meetings with your manager
  • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups
  • Access to learning content on Degreed and other informational platforms
  • A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued

#LI-SC1
Salary Range:
$104,900-$137,700
At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.
Why Join Us.
We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard.
We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

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