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Embedded Ai Engineer Jobs in Virginia (NOW HIRING)

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Experience with embedded systems programming in C, C++, or Rust * Experience in GPU programming ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Experience with embedded systems programming in C, C++, or Rust * Experience in GPU programming ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Experience with embedded systems programming in C, C++, or Rus t * Experience in GPU programming ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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 ...

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 ...

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 1-20

Embedded Ai Engineer information

See Virginia salary details

$69.4K

$152.1K

$172.5K

How much do embedded ai engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for embedded ai engineer in Virginia is $152,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $171,500.00 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, and why are they important?

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 cities in Virginia are hiring for Embedded Ai Engineer jobs? Cities in Virginia with the most Embedded Ai Engineer job openings:
Infographic showing various Embedded Ai Engineer job openings in Virginia as of June 2026, with employment types broken down into 76% Full Time, 5% Part Time, and 19% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $152,068 per year, or $73.1 per hour.
AI Engineer _ GitHub Copilot Agents (Salesforce Development & Testing)

AI Engineer _ GitHub Copilot Agents (Salesforce Development & Testing)

Tata Consultancy Services

Mclean, VA • On-site

$105K - $130K/yr

Full-time

Posted 17 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 207 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking an AI Engineer specializing in GitHub Copilot for Salesforce development and testing. The role involves designing and building AI agents, automating testing workflows, and integrating AI solutions with Salesforce platforms.
Responsibilities:
• Copilot Agent Development (Core Responsibility)
• Design and build AI agents using GitHub Copilot to support:
• Salesforce development (Apex, LWC, integrations)
• Automated testing and QA workflows
• Enable Copilot-driven code generation, refactoring, and debugging across SDLC
• Salesforce Development Enablement
• Leverage AI and Copilot to accelerate:
• Apex / LWC development
• API integrations and backend logic
• Code modernization and enhancements
• Convert design artifacts (e.g., Figma inputs where applicable) into code scaffolding and components (based on Copilot usage patterns observed in internal PoCs)
• AI-Driven Testing & Automation
• Build AI agents to automate:
• Test case generation
• Unit test creation and execution
• Regression and functional testing
• Use Copilot to improve test coverage, reduce manual effort, and enable TDD adoption
• Support transition toward AI-assisted/autonomous testing pipelines
• Prompt Engineering & Optimization
• Design and optimize prompts using:
• Few-shot, structured prompting techniques
• Build prompt templates and reusable patterns for development and testing use cases
• Continuously refine prompts for better accuracy and context relevance
• Python & AI Integration
• Develop backend services and automation scripts using Python
• Integrate AI agents with:
• Salesforce platforms
• DevOps pipelines
• APIs and enterprise applications
• LLM & Agentic Frameworks
• Implement solutions using LLMs (GPT, Claude, or similar)
• Build AI workflows using:
• RAG (Retrieval-Augmented Generation)
• Frameworks like LangChain (or equivalent)
• Collaboration & Delivery
• Work closely with Salesforce teams, QA, and architects
• Participate in sprint delivery with embedded AI workflows
• Drive adoption of AI-led SDL C transformation
Qualifications:
Required:
• Hands-on experience with GitHub Copilot for development and testing automation
• Proven ability to build AI agents / Copilot-driven workflows
• Strong Salesforce development experience (Apex, LWC, integrations)
• Strong Python programming skills (mandatory)
• Experience in Prompt Engineering and prompt optimization
• Experience working with LLMs (GPT, Claude, etc.)
• Knowledge of: Test automation frameworks
• Knowledge of: SDLC lifecycle automation
• Knowledge of: API and integration patterns
• BACHELOR OF COMPUTER SCIENCE
Preferred:
• Experience implementing agentic development in Salesforce ecosystem
• Exposure to: Agentforce / Salesforce AI / enterprise AI tools
• Exposure to: CI/CD pipelines with AI automation
• Experience building: Multi-agent workflows
• Experience building: Autonomous testing solutions
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US