ZipRecruiter

Log In

1

Embedded Ai Engineer Jobs in Virginia (NOW HIRING)

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 ...

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 +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

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

$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 ...

previous pagenext page

Showing results 21-40

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Virginia

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 Sep 7, 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 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 Virginia?

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

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

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

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

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

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $152,068 per year, or $73.1 per hour.

Associate Application Engineer (2027 Graduates)

Appian Corporation

Mclean, VA • On-site

Full-time, Part-time

Re-posted 15 days ago

Job description

At Appian, the Business Technology team is the engine driving our technical strategy and execution. We design, build, and deploy custom, cutting-edge enterprise systems that empower Appian's internal departments to scale efficiently. By embedding artificial intelligence into everyday workflows, our team directly enables Appian's rapid growth and showcases the true power of AI-Powered Process Automation within a live corporate environment.

Appian is looking for an Associate Application Engineer to develop large-scale applications that support internal Appian employees around the world. In this role, you will design and build custom applications with embedded AI that solve real-world problems for internal business stakeholders. This is a rare launchpad for an ambitious technologist to master Enterprise-Grade Systems, collaborate directly with corporate leadership, and see the immediate impact of their software on a global scale.

This role is based at our headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. 

What You'll Do

  • Build and deploy custom internal applications featuring advanced business logic, automated workflows, and embedded AI capabilities.

  • Collaborate closely with cross-functional internal departments to translate operational challenges into high-performing technical solutions.

  • Design clean, scalable architecture and integrate complex data structures utilizing foundational concepts in Data Modeling.

  • Partner with senior engineers to continuously optimize internal system performance, security, and UI/UX design.

  • Participate in agile development cycles, active code reviews, and collaborative brainstorming sessions to drive internal digital transformation.

Basic Qualifications:

  • Education: Currently pursuing a Bachelor's or Master's degree in Information Systems, Data Science, Computer Engineering, Computer Science, Math, other STEM-related fields with a strong academic record

  • Experience: Prior experience in a professional, academic, or technical setting (includes internships, research, capstones, or consistent part-time/full-time employment).

  • Communication: Effective written and verbal communication skills with the ability to collaborate in a professional environment and to bridge the gap between technical concepts and business needs.

  • Technical Skills: Academic background or experience demonstrating coding exposure with programming languages such as SQL, Java, Python, C#, or JavaScript.

  • AI Skills: Proven fluency in AI and LLMs, encompassing both the strategic development of AI-powered platform capabilities and the hands-on application of AI tools to accelerate daily workflows.

Preferred Qualifications

  • Demonstrated leadership experience (e.g. executive roles in student organizations, club leadership, or captaincy of team-based activities).

  • An eager, self-starting mindset passionate about learning AI-Powered Process Automation.

At this time, Appian will not sponsor a new applicant for employment authorization for this position.

Thank you for your interest in joining our team! Please note that we will officially begin reviewing applications and scheduling interviews starting August 2026. We appreciate your patience and look forward to connecting with you then.

At Appian, we embrace AI as part of how we work and innovate. While candidates are encouraged to use AI for preparation and learning, we restrict AI usage for live interviews and assessments unless otherwise specified. In some cases, AI use may be part of the assessment, and expectations will be communicated in advance.

Apply