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Embedded Ai Engineer Jobs in Tennessee (NOW HIRING)

... customer-embedded engineering experience. · Prior support of sales cycles, proposals, or business development technical pursuits. Why C2 Labs? You will help build an AI-native product and ...

Experience embedded in modern development teams practicing GitOps and CI/CD (required). Working knowledge of grounded AI patterns: RAG, context engineering, structured outputs, and evaluation ...

Experience embedded in modern development teams practicing GitOps and CI/CD (required). * Working knowledge of grounded AI patterns: RAG, context engineering, structured outputs, and evaluation ...

Hands-On AI Security Engineering Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC ...

Hands-On AI Security Engineering Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC ...

Hands-On AI Security Engineering Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC ...

Hardware, Firmware & Embedded Product Development * Develop electronics architectures for detector ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

Hardware, Firmware & Embedded Product Development * Develop electronics architectures for detector ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

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Showing results 1-20

Embedded Ai Engineer information

See Tennessee salary details

$63.5K

$139.2K

$157.9K

How much do embedded ai engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for embedded ai engineer in Tennessee is $139,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $157,000.00 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 Tennessee?

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

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

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

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

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

Infographic showing various Embedded Ai Engineer job openings in Tennessee as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $139,213 per year, or $66.9 per hour.

AI Engineer

C2 Labs, Inc.

Knoxville, TN • On-site

Full-time

Posted 25 days ago


Job description

C2 Labs (www.c2labs.com) helps government and commercial organizations transform how they work through AI, automation, cloud, cybersecurity, and modern software. We build real products and platforms that remove manual work, speed decisions, and scale securely in regulated environments. If you want to ship AI that actually lands in production, not sit in a slide deck, this is the role.

Preferred to live in the Knoxville, Tennessee metro area (or willing to relocate).

Position Summary

C2 Labs is hiring an AI Engineer to design, build, and ship AI and technology products that change how teams operate. You will work close to the mission, turn messy real-world workflows into working software and agents, and help define the next generation of our AI platform. This is a high-ownership role for someone who loves AI, automation, and transformation — and wants to see their work used every day.

What You'll Do

·       Build and ship AI-powered products, agents, copilots, and automation that create measurable operational impact.

·       Turn complex business and mission workflows into simple, reliable technology products.

·       Design and implement modern AI architectures (agents, orchestration, RAG/knowledge systems, evaluation, and human-in-the-loop controls).

·       Integrate AI with enterprise systems, APIs, cloud services, and data sources so solutions work in the real world.

·       Drive digital transformation by replacing slow manual processes with automated, intelligent workflows.

·       Build with strong governance in mind: secure use of AI, clear human decision points, auditability, and responsible automation.

·       Elevate customer experience and service: make tools intuitive, reliable, and easy for operators to adopt and trust.

·       Support sales and business development with technical discovery, demos, solution framing, and credible delivery plans.

·       Contribute across the stack as needed: software, data, cloud/infrastructure, DevOps, security, product and project management, and analysis.

·       Raise the bar for quality: secure by design, observable, maintainable, and proven in production.

·       Capture what works as reusable product patterns so the whole company moves faster.

What We're Looking For

·       U.S. Citizenship required.

·       Builder mindset: you ship products, not just prototypes.

·       3–5 years building software, platforms, cloud systems, or applied technology products (or equivalent intensity).

·       1–3 years shipping AI, automation, or LLM-powered products in production.

·       Hands-on experience with AI/LLM systems (agents, RAG, automation, evaluation).

·       Strong software engineering skills (Python required; modern web/TypeScript a plus).

·       Cloud delivery experience (AWS and/or Azure), APIs, CI/CD, and Infrastructure as Code.

·       Comfort spanning multiple domains: engineering, data, security, governance, product, and project delivery.

·       Customer-oriented mindset: experience and service quality matter as much as technical cleverness.

·       Clear communication with technical and non-technical stakeholders, including sales and business development conversations.

·       Excitement about AI-driven transformation in government contracting and government agency environments.

Nice to Have

·       Bachelor’s degree in a technical field or equivalent practical experience.

·       Working understanding of UX/UI design principles.

·       Active Top Secret (TS) clearance preferred.

·       Experience delivering technology in government contracting or government agency settings.

·       Familiarity with compliance-aware environments (FedRAMP, RMF, NIST, CMMC-adjacent).

·       Experience with Microsoft AI/automation ecosystems (Copilot Studio, Power Platform) or similar enterprise AI platforms.

·       Prior forward deployed, field, or customer-embedded engineering experience.

·       Prior support of sales cycles, proposals, or business development technical pursuits.

Why C2 Labs?

You will help build an AI-native product and engineering culture where automation is the default, transformation is the mission, and ownership is real. Small team. High impact. Work that matters in government contracting and across government agencies — with room to shape the products from day one.

EEO STATEMENT:

We are an equal opportunity employer. All qualified applicants will be considered without discrimination based on race, color, religion, sex, national origin, age, disability, or protected veteran status. Employment offers will be contingent on passing a pre-employment drug screen.