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$69.4K

$152.1K

$172.5K

How much do embedded ai jobs pay per year?

As of Jul 26, 2026, the average yearly pay for embedded ai 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 are the key skills and qualifications needed to thrive in the Embedded Ai position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What is an Embedded AI job?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are some common challenges faced by Embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

What are the most commonly searched types of Embedded Ai jobs in Virginia? The most popular types of Embedded Ai jobs in Virginia are:
What are popular job titles related to Embedded Ai jobs in Virginia? For Embedded Ai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Embedded Ai jobs in Virginia look for? The top searched job categories for Embedded Ai jobs in Virginia are:
Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in Virginia as of July 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $152,068 per year, or $73.1 per hour.
Associate Application Engineer (2026 Graduates)

Associate Application Engineer (2026 Graduates)

Appian Corporation

Mclean, VA

Other

Posted 5 days ago

Job description

About the Team

The Business Technology team at Appian is the engine driving our internal operational excellence. 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.

The Opportunity

Our Appian application developers combine their technical expertise with AI and process automation to solve complex business challenges at scale. While this role is technical in nature, please note that it is not a traditional software engineering position.

Why launch your career here? Instead of being a small cog in a massive legacy wheel, this role gives you immediate ownership and visibility. At Appian, you won't just maintain old code; 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 Orchestration, 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.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a closely related technical discipline.
  • Academic background or 0-1 years of experience demonstrating coding exposure with programming languages such as SQL, Java, Python, C#, or JavaScript.
  • Excellent communication and consultative skills, with the ability to bridge the gap between technical concepts and business needs.
  • An eager, self-starting mindset passionate about learning AI-Powered Process Automation.
Preferred Qualifications
  • Prior internship experience within a software engineering, IT, or business technology environment.
  • Academic projects or hands-on familiarity involving automated workflows or data analytics.
  • We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment.

Apply