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Ai Implementation Jobs in Baltimore, MD (NOW HIRING)

T12 TECHNOLOGIES LLC

AI Solutions Architect

Baltimore, MD · On-site

$140K - $165K/yr

Define technical standards, guardrails, and best practices for AI implementation across the ... engagement. * Evaluate and select models, frameworks, and tooling appropriate to business and ...

T12 TECHNOLOGIES LLC

AI Solutions Architect

Baltimore, MD · On-site

$140K - $165K/yr

Define technical standards, guardrails, and best practices for AI implementation across the ... engagement. * Evaluate and select models, frameworks, and tooling appropriate to business and ...

T12 TECHNOLOGIES LLC

AI Solutions Architect

Baltimore, MD · On-site

$140K - $165K/yr

Define technical standards, guardrails, and best practices for AI implementation across the ... engagement. * Evaluate and select models, frameworks, and tooling appropriate to business and ...

Cymertek

AI/ML Engineer

Annapolis Junction, MD · On-site

Experience in edge AI implementation * Expertise in natural language processing * Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to CYMERTEK - And design ...

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All JobsAi Implementation JobsAi Implementation Jobs in Baltimore, MD

Ai Implementation information

See Baltimore, MD salary details

$38.8K

$102.9K

$166.9K

How much do ai implementation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai implementation in Baltimore, MD is $102,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $120,200.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

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

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

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

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

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Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Baltimore, MD as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $102,860 per year, or $49.5 per hour.

AI/ML Engineer

Cymertek Corporation

Annapolis Junction, MD • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a passionate and innovative AI/ML Engineer to join their team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role, you will design, develop, and deploy intelligent systems that solve complex problems and enhance business outcomes.
Responsibilities:
• Proven ability to design AI/ML models
• Experience integrating AI systems
• Strong foundation in algorithm development
• Familiarity with model optimization methods
• Proficiency in deploying models at scale
• Understanding of AI ethics and compliance
Qualifications:
Required:
• Bachelor's Degree
• Proven ability to design AI/ML models
• Experience integrating AI systems
• Strong foundation in algorithm development
• Familiarity with model optimization methods
• Proficiency in deploying models at scale
• Understanding of AI ethics and compliance
• Proficiency in programming (e.g., Python)
• Knowledge of ML frameworks (e.g., TensorFlow)
• Ability to preprocess and analyze datasets
• Expertise in supervised and unsupervised learning
• Familiarity with cloud-based AI tools
• Skill in debugging and testing AI models
Preferred:
• Knowledge of reinforcement learning
• Familiarity with generative AI models
• Experience in edge AI implementation
• Expertise in natural language processing
• Proficiency in computer vision techniques
• Understanding of emerging AI/ML trends
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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