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Embedded Ai Engineer Jobs in Washington, DC (NOW HIRING)

Qrypt

Embedded Software Engineer

Germantown, MD · On-site

$125K - $155K/yr

The Embedded Software Engineer will own the design, development, and test of digital logic and ... Use AI-assisted and agentic development tooling to accelerate your work while owning the ...

Qrypt

Embedded Software Engineer

Germantown, MD · Hybrid

$125K - $155K/yr

The Embedded Software Engineer will own the design, development, and test of digital logic and ... Use AI-assisted and agentic development tooling to accelerate your work while owning the ...

AnaVation LLC

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

They are seeking a Senior AI Engineer to build advanced AI-driven systems for vulnerability ... embedded systems, mobile platforms, or cloud-native workloads. • Publications, conference ...

Tactical Edge

Forward Deployment Manager

Washington, DC · On-site

$150 - $210/hr

... engineering, AI, security, customer teams, and partners including AWS to keep field execution predictable and outcomes measurable. What You'll Do * Lead embedded AI deployment programs from workflow ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

You will focus on building generative AI applications with embedded artifcial intelligence or ... UiPath RPA Developer Certification and UiPath AI Center Experience * Knowledge of chatbot ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... You will focus on building generative AI applications with embedded artifcial intelligence or ...

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Showing results 41-60

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Washington, DC

Embedded Ai Engineer information

See Washington, DC salary details

$79.3K

$173.7K

$197K

How much do embedded ai engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for embedded ai engineer in Washington, DC is $173,658.00, 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 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 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 popular job titles related to Embedded Ai Engineer jobs in Washington, DC?

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

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

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

Embedded Ai Engineer jobs near you

AI Engineer (GenAI & Agentic Systems)

Ampcus Inc

Chantilly, VA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking an AI Engineer (GenAI & Agentic Systems) to design, prototype, and build generative AI and agent-based automations for knowledge work and decision support. The role involves evaluating AI platforms and developing proof of concepts with large language models and agentic AI patterns.
Responsibilities:
• Design and implement GenAI‐powered automations using LLMs/SLMs, tools, and agents.
• Design and build GenAI inference pipelines that: Accept structured and unstructured inputs. Apply prompt templates and system instructions. Invoke LLMs and tools. Postprocess outputs into reliable, auditable results. Support real‐time, batch, and asynchronous inference patterns.
• Design and test prompt templates for data.
• Implement data feature engineering for GenAI.
• Design and prototype/develop agentic automations that decompose tasks, plan and reason oversteps, invoke tools and APIs, and handle errors and retries.
• Integrate agents with AI platform and other source APIs.
• Apply guardrails to control agent autonomy, cost, and risk.
• Technically evaluate GenAI and agentic features embedded in third‐party SaaS/COTS products, including: LLM, SLM usage patterns and limitations. Prompt and agent customization options. API accessibility and automation readiness. Observability and audit controls. Provide technical input to architecture, procurement, and governance decisions.
Qualifications:
Required:
• Strong proficiency in Python and API‐based service development.
• Hands‐on experience with LLMs, SLMs, RAG, prompt engineering, and Agentic AI frameworks or patterns.
• Experience building inference pipelines for GenAI.
• Strong understanding of API‐first and event‐driven architectures.
• Experience integrating AI services with enterprise systems and SaaS platforms.
• Deep understanding of GenAI inference vs traditional deterministic systems, prompt‐centric and context‐centric design, and agent autonomy vs control tradeoffs.
• Ability to translate experimentation into reliable, automated AI systems.
• Strong collaboration skills across engineering, product, data, and governance teams.
Preferred:
• Experience building and maintaining GenAI systems in enterprise or regulated environments.
• Familiarity with vector databases and document retrieval systems.
• Cost and latency optimization for LLMs and SLMs.
• Monitoring and evaluation of GenAI outputs.
• Experience assessing vendor‐provided GenAI platforms and features.
• Exposure to AI risk management or responsible AI practices.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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