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Embedded Ai Engineer Jobs in Washington (NOW HIRING)

Agile Defense

Sales Engineer, Embedded AI

Mclean, VA · On-site

$125K - $155K/yr

Sales Engineer, Embedded AI Location: Hybrid, McLean, VA Clearance Level: Top Secret, Must Have Ability to Obtain a Clearance Agile Labs is the applied-AI division of Agile Defense. We build non ...

Agile Defense

Sales Engineer, Embedded AI

Mclean, VA · Hybrid

$125K - $155K/yr

Sales Engineer, Embedded AI Location: Hybrid, McLean, VA Clearance Level: Top Secret, Must Have Ability to Obtain a Clearance Agile Labs is the applied-AI division of Agile Defense. We build non ...

Renesas Electronics

Sr AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms. * Lead junior engineers and contribute to technical leadership ...

New

Bigbear.ai

Embedded Engineer

Columbia, MD · On-site

$114K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

BigBear.ai

Embedded Engineer

Columbia, MD · On-site

$129K - $170K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Bigbear.ai

Embedded Engineer

Annapolis Junction, MD · On-site

$140K/yr

BigBear.ai is seeking a skilled Embedded Engineer to join our mission-driven team supporting critical government programs. At BigBear.ai, you'll collaborate with some of the brightest minds in ...

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms. * Manage a variety of projects both technically and ...

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms. * Manage a variety of projects both technically and ...

Renesas Electronics

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms. * Manage a variety of projects both technically and ...

Bigbear.ai

Embedded Engineer

Columbia, MD · On-site

$114K - $228K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Bigbear.ai

Embedded Engineer

Annapolis Junction, MD

$140K - $228K/yr

BigBear.ai is seeking a skilled Embedded Engineer to join our mission-driven team supporting critical government programs. At BigBear.ai, you'll collaborate with some of the brightest minds in ...

Booz Allen Hamilton, Inc.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with embedded systems programming in C, C++, or Rust * Experience in GPU programming ... Master's degree in a CS or AI field Clearance: Applicants selected will be subject to a security ...

Booz Allen Hamilton, Inc.

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... Experience with embedded systems programming in C, C++, or Rust * Experience in GPU programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... Experience with embedded systems programming in C, C++, or Rust * Experience in GPU programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0245087 Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and ... Experience with embedded systems programming in C, C++, or Rus t * Experience in GPU programming ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... Experience with embedded systems programming in C, C++, or Rust * Experience in GPU programming ...

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Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Washington

Embedded Ai Engineer information

See Washington salary details

$79.3K

$173.7K

$197.1K

How much do embedded ai engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for embedded ai engineer in Washington is $173,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $148,900.00 and $195,900.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What are popular job titles related to Embedded Ai Engineer jobs in Washington?

For Embedded Ai Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Washington look for?

The top searched job categories for Embedded Ai Engineer jobs in Washington are:

What cities in Washington are hiring for Embedded Ai Engineer jobs?

Cities in Washington with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Washington as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $173,722 per year, or $83.5 per hour.

Sales Engineer, Embedded AI

Agile Defense

Mclean, VA • On-site

$125K - $155K/yr

Other

Posted 26 days ago

Job description

About Agile Defense
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.
Requisition #: 1745
Job Title: Sales Engineer, Embedded AI
Location: Hybrid, McLean, VA
Clearance Level: Top Secret, Must Have Ability to Obtain a Clearance
Job Description
Agile Labs is the applied-AI division of Agile Defense. We build non-exquisite AI systems and field them across cloud, on-premises, and air-gapped environments for the Army, Air Force, Navy, Marine Corps, FBI, SOCOM, and other mission-driven customers. We do this through three integrated teams that operate as a flywheel: Embedded AI proves the need inside operational units, Force-Deployed Engineering proves it works in the field, and Product hardens what works into reusable capability.
The Embedded AI team is the customer-depth team. We embed where decisions actually get made, find the mission problems that do not yet have a repeatable solution, and prototype against them fast using our platform stack. The Sales Engineer is the technical voice in that room - the person who can sit across from an operator or program office, understand the problem in their language, and translate it into a working demonstration of capability inside their mission context. You are the bridge between what the customer needs and what our stack can do, and you carry that translation all the way from first conversation to fielded proof.
This is a hands-on, technical, customer-facing role. It is not a quota-carrying closing seat and it is not a back-office solutions desk. You will spend your time in front of customers and inside our own platform, and you will be measured on whether the capability you put in front of a customer earns the next engagement.
Education and Background
College degree in computer science or relevant field preferred.
Years of Experience
4+ years
Required Skills
  • 4+ years in a sales engineering, solutions architecture, forward-deployed engineering, or technical pre-sales role - ideally serving DoD, IC, or federal civilian customers.
  • The ability to operate at the intersection of deep technical detail and commercial/strategic reasoning, and to move fluidly between an operator, a program manager, and an engineer in the same day.
  • Hands-on technical fluency: comfort building and demonstrating software, working with APIs and integrations, and reasoning about modern AI systems (agents, orchestration, RAG, evaluation) well enough to design a credible demo and defend it under questioning.
  • Strong discovery and requirements instincts - you ask the questions that help a customer think, not the ones that extract free labor from them, and you can write clear functional and non-functional requirements from a messy conversation.
  • Excellent written and verbal communication, including the ability to produce briefs and proposal content that hold up to technical scrutiny.
  • Active TS/SCI clearance, active Secret with the eligibility and willingness to upgrade, or ability to obtain either.
  • Willingness to travel to customer and field sites.

Preferred Skills
  • Direct experience with SOF, SOCOM, or Combatant Command customers, or with the FBI / IC.
  • Familiarity with the federal acquisition landscape: SWP / Software Acquisition Pathway, OTAs, IDIQ vehicles, and the realities of capture and proposal cycles.
  • Working knowledge of accreditation and compliance frameworks relevant to fielding AI in government environments (IL-5, FedRAMP, CMMC, NIST, cATO, OSCAL).
  • Experience building or demonstrating agentic AI, OSINT, C2, or risk-screening capabilities.
  • A background that combines technical delivery with business development or capture instincts - the rarer the combination, the better the fit.

Working Conditions
Office Environment
$125,000 - $155,000 a year
Our Core Values
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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