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Entry Level Ai Developer Jobs in Maryland (NOW HIRING)

Sargent & Lundy

Entry Level Civil Engineer

Elkridge, MD

$62K - $90K/yr

... entry-level position will offer you the opportunity to utilize and expand your civil engineering ... AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to solve ...

Pwc

AI & GenAI Data Scientist - Manager

Baltimore, MD

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsAi Developer JobsEntry Level Ai Developer JobsEntry Level Ai Developer Jobs in Maryland

Entry Level Ai Developer information

See Maryland salary details

$28.6K

$97.3K

$234.4K

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

As of Sep 5, 2026, the average yearly pay for entry level ai developer in Maryland is $97,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $102,900.00 per year, depending on experience, location, and employer.

What does an entry level AI developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What types of projects and tasks can an entry level AI developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

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

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Maryland?

The most popular types of Ai Developer jobs in Maryland are:

What are popular job titles related to Entry Level Ai Developer jobs in Maryland?

For Entry Level Ai Developer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Developer jobs in Maryland look for?

The top searched job categories for Entry Level Ai Developer jobs in Maryland are:

Entry Level Ai Developer jobs near you
Infographic showing various Entry Level Ai Developer job openings in Maryland 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 $97,312 per year, or $46.8 per hour.

Associate Cloud AI Engineer - TS/SCI clearance - Travel

PGTEK

Baltimore, MD • On-site

$80 - $100/hr

Other

This job post has expired 3 days ago. 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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