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Generative Ai Developer Jobs in Baltimore, MD (NOW HIRING)

Parsons

AI/ML Engineer

Aberdeen, MD

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred. * Knowledge of MLOps practices, CI/CD ...

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred. * Knowledge of MLOps practices, CI/CD ...

Blend360

AI Engineering Sr Director

Columbia, MD · On-site

$251K/yr

We are seeking a highly accomplished and dynamic Director, AI & Generative Solutions to join our ... Programming experience in Python, with experience in developing and deploying production-grade AI ...

Blend360

AI Engineering Sr Director

Columbia, MD · On-site +1

$251K/yr

We are seeking a highly accomplished and dynamic Director, AI & Generative Solutions to join our ... Programming experience in Python, with experience in developing and deploying production-grade AI ...

Blend360

AI Engineering Sr Director

Columbia, MD · On-site

$251K/yr

We are seeking a highly accomplished and dynamic Director, AI & Generative Solutions to join our ... Programming experience in Python, with experience in developing and deploying production-grade AI ...

Dcode Talent LLC

GenAI Engineer

Woodlawn, MD · On-site

Incorporating generative AI models into existing software applications and products. · Research ... Engineering or a related field. · Masters or Doctorate degree may substitute for required ...

Tria Federal

Full Stack Developer (AI)

Woodlawn, MD · On-site +1

Tria Federal is assembling a small team of highly capable Full-Stack Engineers to design and build ... As part of the Business Operations Support Center, you'll shape how generative and agentic AI ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Baltimore, MD

Generative Ai Developer information

See Baltimore, MD salary details

$18

$45

$100

How much do generative ai developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for generative ai developer in Baltimore, MD is $45.00, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $54.47 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Baltimore, MD?

For Generative Ai Developer jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Baltimore, MD look for?

The top searched job categories for Generative Ai Developer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Generative Ai Developer jobs?

Cities near Baltimore, MD with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $93,600 per year, or $45 per hour.

AI/ML Instructor & Curriculum Developer

IntelliGenesis

Annapolis Junction, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Key responsibilities

  • Deliver instructor-led, virtual, and hybrid AI/ML training programs to technical and non-technical audiences.

  • Design and develop AI learning experiences, including labs, workshops, practical exercises, and certification programs.

  • Evaluate training effectiveness and improve course content and learner outcomes.

Job description

*This role offers a hybrid work model, with both in-office and remote work.*
Help Build the AI Workforce of the Future
Artificial Intelligence is transforming every aspect of national security, but technology alone is not enough. Success depends on developing a workforce capable of understanding, applying, governing, and operationalizing AI in mission environments.
IntelliGenesis is seeking an experienced AI/ML Instructor & Curriculum Developer to help design and deliver next-generation AI education programs supporting government and national security organizations.
 
This role combines technical expertise, instruction, curriculum development, and innovation. You will work alongside AI researchers, engineers, mission operators, and instructional designers to create learning experiences that prepare technical professionals, analysts, managers, and leaders to succeed in an AI-enabled future.
 
Unlike traditional training roles, you will have access to IntelliGenesis' advanced AI research environment, including our 8,000-square-foot IG Labs innovation facility, NVIDIA-powered computing infrastructure, and ongoing applied AI initiatives supporting real-world mission challenges.
 
What You'll Do
  • Deliver engaging instructor-led, virtual, and hybrid AI/ML training programs to technical and non-technical audiences.
  • Design and develop innovative AI learning experiences, including labs, workshops, practical exercises, simulations, and certification preparation programs.
  • Translate complex technical concepts into mission-relevant instruction that drives understanding and operational application.
  • Develop curriculum covering topics such as:
     
    • Generative AI
    • Large Language Models (LLMs)
    • Agentic AI
    • Machine Learning
    • Deep Learning
    • Data Science
    • MLOps
    • AI Governance and Responsible AI
    • AI Security and Risk Management
       
  • Create hands-on exercises using modern AI tools, frameworks, and datasets.
  • Collaborate with AI practitioners and researchers to ensure content reflects current technologies and emerging trends.
  • Evaluate training effectiveness and continuously improve course content and learner outcomes.
  • Support workforce development initiatives, certification programs, and AI transformation efforts across government organizations.
  • Participate in pilot programs, demonstrations, workshops, and strategic AI education initiatives.
     
Why IntelliGenesis?
At IntelliGenesis, you won't simply teach AI; you'll help shape how AI is understood and adopted across the national security community.
 
You'll have opportunities to:
  • Access our 8,000-square-foot IG Labs innovation facility.
  • Collaborate with AI researchers, engineers, and mission experts.
  • Work with advanced NVIDIA computing environments and AI development platforms.
  • Explore emerging technologies including Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and autonomous systems.
  • Influence AI certifications, workforce development pathways, and future training programs.
  • Contribute to real-world AI initiatives supporting government missions.
     
Required Qualifications:
  • Must be a U.S. Citizen.
  • Active TS/SCI clearance with polygraph.
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Education, or related discipline.
  • 6+ years of combined technical experience in AI/ML, data science, analytics, software engineering, technical instruction, or curriculum development.
  • Demonstrated ability to communicate complex technical concepts to diverse audiences.
  • Understanding of Python software development, including analysis of existing codebases and ability to write code.
  • Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
  • Ability to quickly learn and adapt to new technologies and domains.
  • Experience developing or delivering technical education, workforce development, or training programs.
  • Working knowledge of modern AI and machine learning concepts, tools, and frameworks
  • Familiarity with a variety of AI subjects including Generative AI, Large Language Models, Agentic AI, MLOps, Responsible AI, and AI governance.
Desired Qualifications:
  • Master's degree or PhD in AI, Machine Learning, Computer Science, Data Science, Engineering, Mathematics, or related discipline.
  • Experience supporting Department of Defense, Intelligence Community, or Federal Government programs.
  • Experience with containerization and virtualization architectures.
  • Experience delivering instructor-led training, workshops, boot camps, or certification programs.
  • Experience developing hands-on labs, simulations, or project-based learning environments.
  • Industry certifications related to AI, cloud computing, data science, or technical instruction.
Join us in helping build the AI-ready workforce needed to support tomorrow's missions!
Compensation Range: $170,000 - $210,000

_____________________________________________________________________________________________________

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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