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Associate Ai Engineer Jobs in Baltimore, MD (NOW HIRING)

PGTEK

Lead Cloud AI Engineer - Travel role

Baltimore, MD

$120K - $150K/yr

Lead Cloud AI Engineer (Lead / Senior) Location: Various U.S. Federal Client Sites (Onsite) Travel ... Mentor Associate and Mid-Level Cloud Engineers while helping develop the organization's Google ...

PGTEK

Lead Cloud AI Engineer - Travel role

Baltimore, MD · On-site

$120K - $150K/yr

Lead Cloud AI Engineer (Lead / Senior) Location: Various U.S. Federal Client Sites (Onsite) Travel ... Mentor Associate and Mid-Level Cloud Engineers while helping develop the organization's Google ...

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All JobsAssociate Ai Engineer JobsAssociate Ai Engineer Jobs in Baltimore, MD

Associate Ai Engineer information

See Baltimore, MD salary details

$41.2K

$82.1K

$131.2K

How much do associate ai engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for associate ai engineer in Baltimore, MD is $82,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $94,400.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

What is the difference between Associate Ai Engineer vs Data Scientist?

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

How much do entry level associate AI engineers make?

Entry-level associate AI engineers typically earn between $70,000 and $90,000 annually, depending on location, education, and company size. Starting salaries may also include benefits such as health insurance and opportunities for skill development in machine learning tools and programming languages like Python or TensorFlow.

Is there a demand for associate AI engineers?

There is a strong and growing demand for associate AI engineers as industries increasingly adopt artificial intelligence and machine learning technologies. Entry-level roles often require knowledge of programming languages like Python, familiarity with AI frameworks, and relevant certifications, making it a promising career path for those with technical skills and a background in data science or software development.

What jobs can you get with an associate AI engineer?

An associate AI engineer can qualify for roles such as AI developer, machine learning technician, data analyst, or AI support specialist. These positions typically require knowledge of programming languages like Python, familiarity with AI frameworks, and understanding of data processing. Entry-level roles often involve assisting in developing, testing, and maintaining AI models and systems.

What are the most commonly searched types of Ai Engineer jobs in Baltimore, MD?

The most popular types of Ai Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Associate Ai Engineer jobs?

Cities near Baltimore, MD with the most Associate Ai Engineer job openings:

Associate Ai Engineer jobs near you
Infographic showing various Associate Ai Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $82,111 per year, or $39.5 per hour.

Associate Cloud AI Engineer - TS/SCI clearance - Travel

PGTEK

Baltimore, MD • On-site

$80 - $100/hr

Other

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

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
  • 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
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