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Senior Ai Developer Jobs in Frederick, MD (NOW HIRING)

Leidos

Senior AI Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

As a Senior AI Engineer, you will : * Support the development and operationalization of AI and agentic AI systems in production mission environments. * Collaborate with multidisciplinary teams of ...

Leidos

Senior AI Engineer

Rockville, MD · On-site

$131K - $237K/yr

As a Senior AI Engineer, you will : * Support the development and operationalization of AI and agentic AI systems in production mission environments. * Collaborate with multidisciplinary teams of ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Hagerstown, MD

$103K - $142K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Familiarity with Agile/DevOps methodologies for software development. * Certifications in AI/ML or ...

Anika Systems

AI Engineer

Leesburg, VA · Remote

This is a hands-on builder role on a small, senior team. Engineers own work end-to-end including ... Document AI / OCR pipelines and modernization of legacy enterprise workflows. * Production ...

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Senior Ai Developer information

See Frederick, MD salary details

$15

$61

$87

How much do senior ai developer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for senior ai developer in Frederick, MD is $61.38, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $68.85 per hour, depending on experience, location, and employer.

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

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

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.

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

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

Which senior AI developer job is high paying?

Senior AI developer roles tend to be high paying in industries such as technology, finance, and healthcare, especially for those with expertise in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch. Salaries can vary based on location, company size, and individual skills, but senior positions often offer six-figure compensation packages.

What are popular job titles related to Senior Ai Developer jobs in Frederick, MD?

For Senior Ai Developer jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Senior Ai Developer jobs in Frederick, MD look for?

The top searched job categories for Senior Ai Developer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Senior Ai Developer jobs?

Cities near Frederick, MD with the most Senior Ai Developer job openings:

Senior Ai Developer jobs near you
Infographic showing various Senior Ai Developer job openings in Frederick, MD as of September 2026, with employment types broken down into 1% Internship, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $127,664 per year, or $61.4 per hour.

Senior AI Engineer

Leidos

Rockville, MD • Hybrid

$131K - $237K/yr

Full-time

Re-posted 14 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services

Job description

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Join Leidos' all-star team supporting the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.

As a Senior AI Engineer, you will:

  • Support the development and operationalization of AI and agentic AI systems in production mission environments.

  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.

  • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.

  • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.

  • Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

What You Bring:

  • Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.

  • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master's).

  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.

  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.

  • Track record of creative problem solving, active learning, and mission-focused outcomes.

  • Experience with the following:

    • AI/ML production engineering

    • LLMOps / MLOps

    • RAG architectures

    • AI orchestration frameworks

    • Kubernetes-based AI deployments

    • OpenAI-compatible APIs

    • Python development

    • GPU inference optimization

Preferred Qualifications:

  • Experience supporting military or intelligence community customers.

  • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).

  • Familiarity with the following technologies

    • LangGraph

    • Semantic Kernel

    • vLLM

    • Ollama

    • Ray

    • NVIDIA GPU ecosystems

    • Vector databases

#ASBA

#NMEC-Leidos


If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:June 25, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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