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

As of Aug 13, 2026, the average yearly pay for entry level ai engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python or TensorFlow. While prior experience is not always mandatory, having relevant coursework, projects, or certifications can improve chances of securing such roles. Employers may also provide on-the-job training for candidates with strong problem-solving skills and a willingness to learn.

Is AI taking entry level ai engineer jobs?

Entry-level AI engineer jobs are growing as companies invest in artificial intelligence and machine learning technologies. However, competition remains high, and candidates with skills in programming, data analysis, and familiarity with tools like Python and TensorFlow have better prospects. Staying updated with industry trends and gaining relevant certifications can improve job opportunities in this field.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.
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Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Associate Cloud AI Engineer - TS/SCI clearance - Travel

PGTEK

Tampa, FL • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Associate Cloud AI Engineer (Entry Level)

Location: Various U.S. Federal Client Sites (Onsite)
Travel: Travel required to customer sites throughout the Continental U.S.
Salary: $80,000 – $100,000
Clearance: Active TS/SCI or the ability to obtain a TS/SCI clearance required

About PGTEK

PGTEK is a leading provider of enterprise IT modernization, cloud transformation, and AI solutions supporting U.S. Federal Government agencies. As we continue expanding our Google Cloud and AI practice, we're seeking motivated engineers who want to build their careers deploying next-generation cloud and AI technologies in secure government environments.

This is an excellent opportunity for early-career cloud professionals, recent graduates, military veterans, and PGTEK Academy candidates looking to gain hands-on experience with Google Cloud Platform (GCP), enterprise AI, and federal cloud modernization projects.

Position Summary

As an Associate Cloud AI Engineer, you'll work alongside Senior and Lead Cloud AI Engineers to help deploy, secure, and support Google Cloud environments for federal customers. You'll participate in cloud migrations, infrastructure deployments, automation initiatives, and AI platform implementations while developing expertise in Google Cloud technologies and federal security best practices.

This role offers significant mentorship and professional growth opportunities as you build toward becoming a Cloud AI Engineer and ultimately a Cloud Architect.

Responsibilities
  • Assist with deploying and configuring Google Cloud Platform (GCP) environments
  • Configure resource hierarchies, IAM roles, Cloud Identity, and organizational policies
  • Support Google Cloud Assured Workloads implementations
  • Deploy and manage Compute Engine virtual machines, Google Kubernetes Engine (GKE), Cloud Run, and enterprise AI services
  • Configure cloud networking including VPCs, subnets, firewall rules, and network security policies
  • Assist with Google Cloud storage, databases, and data services including:
    • Cloud Storage
    • Cloud SQL
    • BigQuery
    • Spanner
    • Pub/Sub
    • Dataflow
  • Support Infrastructure as Code (IaC) deployments using Terraform, Config Connector, and Helm
  • Utilize Google AI-assisted tools including Gemini CLI and Gemini Cloud Assist
  • Monitor cloud environments using Cloud Monitoring, Cloud Logging, Cloud Trace, and Cloud Profiler
  • Assist with identity, access management, encryption, and least-privilege security implementations
  • Support compliance documentation and evidence collection for FedRAMP and DoD environments
  • Collaborate with senior engineers throughout cloud migration and modernization projects
  • Continuously expand Google Cloud knowledge through certifications, mentoring, and hands-on experience

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or another STEM-related field (or equivalent practical experience)
  • 0–2 years of experience supporting cloud infrastructure or enterprise IT environments
  • Basic understanding of cloud computing concepts
  • Familiarity with Linux and networking fundamentals
  • Experience using command-line tools and scripting is a plus
  • Strong troubleshooting and analytical skills
  • Excellent communication and willingness to learn
  • Ability to work collaboratively in a fast-paced team environment
Preferred Qualifications

Experience or exposure to any of the following is a plus:

  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker or container technologies
  • Terraform or Infrastructure as Code
  • Git and CI/CD pipelines
  • Cloud networking
  • Python, Bash, or PowerShell scripting
  • AI or machine learning concepts
  • Legacy-to-cloud migration projects
Required Certifications
  • Google Cloud Certified – Associate Cloud Engineer (ACE) (Required at hire or within the first 90 days of employment)
  • Google Cloud Certified – Professional Cloud Architect (PCA) (Preferred or active pursuit encouraged)
Security Clearance
  • Active TS/SCI clearance or eligibility to obtain a TS/SCI clearance is required.

Benefits

Our comprehensive benefits package for full-time salaried employees is effective immediately upon the start date. Benefits include comprehensive PPO medical coverage with access to a Health Savings Account (HSA) option, a vision plan, and dental insurance with the base dental plan option paid for by PGTEK. Life Insurance, Short and Long-Term disability, and Critical Illness insurance have premiums covered. Additionally, PGTEK offers a matching 401(k) plan and a discount on pet insurance through ASPCA Pet Insurance. An Employee Assistance Program is available at no cost to all employees. PGTEK offers a generous amount of PTO and Holidays, and an Education Assistance Program is available after 12 months of employment.

ABOUT PGTEK

PGTEK is a true consulting organization dedicated to helping clients achieve their business and technology objectives utilizing our decades of experience and business relationships. PGTEK invests in the educational advancements of our staff by providing the necessary resources to complete Professional and Business Certifications. Our company is our people, and we treat them like family.

EOE, including disability/veterans