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Senior Ai Engineer Salary In Jobs in Silver Spring, MD

Senior AI Engineer

Rockville, MD · On-site

$130 - $160/hr

As a Senior AI Engineer, you will * Support the development and operationalization of AI and ... Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution ...

Senior AI Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

As a Senior AI Engineer, you will : * Support the development and operationalization of AI and ... salary. Additional factors considered in extending an offer include (but are not limited to ...

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

As a Senior AI Engineer, you will : * Support the development and operationalization of AI and ... salary. Additional factors considered in extending an offer include (but are not limited to ...

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 ... salary. Additional factors considered in extending an offer include (but are not limited to ...

Senior AI Engineer

Annapolis Junction, MD · On-site

$106K - $146K/yr

IntelliGenesis LLC is seeking a Senior AI Engineer to lead the design, development, and deployment ... Citizen • Active TS/SCI Clearance and Polygraph required • 10+ years of experience in AI/ML ...

Bachelor's degree in computer science or another STEM discipline; OR 2+ years of professional ... Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for ...

Sr. AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

The Sr. AI Engineer, Device Intelligence will be a key member of the AI Product and Imaging ... The annual salary range for this role is $135,000 - $180,000 . This is the range that we in good ...

Senior AI Engineer

Alexandria, VA · On-site

$131 - $237/hr

As a Senior AI Engineer, you will: * Support the development and operationalization of AI and ... salary. Additional factors considered in extending an offer include (but are not limited to ...

Bachelor's degree in computer science or another STEM discipline; OR 2+ years of professional ... Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for ...

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... In addition to base salary, the hired professional will receive a comprehensive benefits package ...

Data & AI Engineer

Washington, DC · On-site

$160 - $180/hr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... In addition to base salary, the hired professional will receive a comprehensive benefits package ...

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Build future-state architecture and data pipelines that ground AI outputs in authoritative, mission ... Salary is determined by various factors, including but not limited to, the scope and ...

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Build future-state architecture and data pipelines that ground AI outputs in authoritative, mission ... Salary is determined by various factors, including but not limited to, the scope and ...

Showing results 21-40

Senior Ai Engineer Salary In information

See Silver Spring, MD salary details

$61.5K

$130.8K

$189.7K

How much do senior ai engineer salary in jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior ai engineer salary in in Silver Spring, MD is $130,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $148,300.00 per year, depending on experience, location, and employer.

What is the difference between Senior Ai Engineer Salary In vs Data Scientist?

AspectSenior Ai EngineerData Scientist
Average Salary$120,000 - $160,000$90,000 - $130,000
Required CredentialsBachelor's/Master's in CS, AI, or related fields; experience with ML frameworksBachelor's/Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights

While both roles require strong technical skills and related credentials, Senior Ai Engineers typically focus on developing and deploying AI models, earning higher salaries. Data Scientists often analyze data to inform business decisions, with slightly lower average pay. The choice depends on your career focus within AI and data analytics.

How much do senior AI engineers make?

Senior AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch can influence salary levels.

Is a senior AI engineer a high paying job?

A senior AI engineer typically earns a high salary due to advanced skills in machine learning, deep learning, and programming languages like Python. Compensation varies by industry and location but generally reflects the specialized expertise and experience required for the role.

What job categories do people searching Senior Ai Engineer Salary In jobs in Silver Spring, MD look for?

The top searched job categories for Senior Ai Engineer Salary In jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Senior Ai Engineer Salary In jobs?

Cities near Silver Spring, MD with the most Senior Ai Engineer Salary In job openings:

Senior AI Engineer

Via Logic LLC

Rockville, MD • On-site

$130 - $160/hr

Other

Posted 25 days ago


Job description

Join Leidos’ all‑star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. Through training, teamwork, and exposure to challenging technical work, Leidos accelerates your career path.

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
Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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