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Generative Ai Associate Jobs in Maryland (NOW HIRING)

... Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred. * Generative AI, LLM, or MLOps ...

... generative AI, and Agentic AI. • Experience analyzing complex data sets to identify patterns and ... experience • Associates Degree + 4 years of experience • Bachelors Degree + 2 years of ...

Associate Director of AI and Data

Rockville, MD · On-site

$60K - $60K/yr

... Generative AI architectures (Transformers, LLMs, RAG). • Proficiency in Python (primary) and R (secondary); familiarity with Java or C++ (for Polus backend optimization) is a strong plus. • ...

AI Software Engineer-Principal

Annapolis Junction, MD · On-site

$148K - $198K/yr

S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of ... Experience working with LLMs and generative AI technologies. * Experience with modern deep learning ...

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of ... Experience working with LLMs and generative AI technologies. * Experience with modern deep learning ...

Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs) * Manage ...

Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs) * Manage ...

They are seeking an Associate Director of Artificial Intelligence, Modeling, and Data to lead the ... Generative AI, Large Language Models (LLMs), and Agentic Workflows into federal research ...

Showing results 21-40

Generative Ai Associate information

See Maryland salary details

$10

$16

$20

How much do generative ai associate jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for generative ai associate in Maryland is $16.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $17.98 per hour, depending on experience, location, and employer.

What is a generative AI associate?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

How does a generative AI associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What are the key skills and qualifications needed to thrive as a generative AI associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.

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

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

What cities in Maryland are hiring for Generative Ai Associate jobs?

Cities in Maryland with the most Generative Ai Associate job openings:

Infographic showing various Generative Ai Associate job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,171 per year, or $16.9 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

267th of 450 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions that support business, operational, and customer-facing products and services.
What You'll Be Doing:
  • Supports AI/ML program and project implementation efforts and makes significant contributions to department goals, innovation initiatives, and strategic planning activities.
  • Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models to solve business and operational challenges.
  • Collaborates with data scientists, software engineers, product owners, and business stakeholders to define AI/ML requirements and solution approaches.
  • Develops and maintains data pipelines, feature engineering processes, and model training workflows.
  • Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.
  • Investigates and resolves defects, performance issues, and operational incidents related to AI/ML applications and services.
  • Oversees model testing, validation, and quality assurance activities to ensure solutions meet business, regulatory, and technical requirements.
  • Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.
  • Evaluates emerging AI technologies, machine learning frameworks, and industry best practices to improve organizational capabilities.
  • Ensures AI/ML solutions comply with security, privacy, ethical AI, and governance requirements.
  • Documents model architecture, assumptions, performance metrics, and deployment procedures.
  • Acts as a technical resource to managers, engineers, analysts, and other employees throughout the organization.
  • Performs other responsibilities associated with this position as may be appropriate.

What Required Skills You'll Bring:
  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Mathematics, Statistics, or related field.
  • 5+ years of related professional experience in software engineering, machine learning engineering, data science, or artificial intelligence development.
  • Advanced knowledge of machine learning, artificial intelligence, statistical modeling, and predictive analytics concepts.
  • Experience developing and deploying machine learning models in production environments.
  • Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies.
  • 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 pipelines, model monitoring, and deployment automation.
  • Experience working with structured and unstructured data sources and large-scale datasets.
  • Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to work effectively under pressure and manage multiple priorities.
  • Advanced written and verbal communication skills.
  • Proficiency in Microsoft Office applications.
  • Advanced time management and organizational skills.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Must be a US Citizen

What Desired Skills You'll Bring:
  • Experience deploying AI/ML solutions in enterprise or production environments preferred.
  • AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred.
  • Generative AI, LLM, or MLOps certifications preferred.
  • A SECRET Clearance (or higher is preferred)

Security Clearance Requirement:
None
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $103,500.00 - $181,100.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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