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Embedded Ai Engineer Jobs in Decatur, GA (NOW HIRING)

FanDuel

Staff AI Security Engineer

Atlanta, GA · On-site

Deep, hands-on security engineering experience embedded in the software development lifecycle, from design and code review through CI/CD, deployment, and production. * Hands-on AI/LLM and agentic ...

FanDuel

Staff AI Security Engineer

Atlanta, GA · On-site

Deep, hands-on security engineering experience embedded in the software development lifecycle, from design and code review through CI/CD, deployment, and production. * Hands-on AI/LLM and agentic ...

Honeywell

Sr Advanced AI Platform Engineer

Sandy Springs, GA · On-site

$103K - $142K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$99K - $136K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Chamblee, GA · On-site

$102K - $140K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Scottdale, GA · On-site

$102K - $140K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

College Park, GA · On-site

$100K - $137K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Marietta, GA · On-site

$99K - $136K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Austell, GA · On-site

$95K - $131K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Vinnings, GA · On-site

$97K - $134K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Brookhaven, GA · On-site

$102K - $141K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Doraville, GA · On-site

$102K - $140K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Powder Springs, GA · On-site

$99K - $135K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

North Decatur, GA · On-site

$102K - $140K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$102K - $140K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Mableton, GA · On-site

$95K - $130K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Druid Hills, GA · On-site

$101K - $139K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

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Showing results 41-60

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Decatur, GA

Embedded Ai Engineer information

See Decatur, GA salary details

$68.2K

$149.4K

$169.4K

How much do embedded ai engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for embedded ai engineer in Decatur, GA is $149,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,100.00 and $168,500.00 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?

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 are popular job titles related to Embedded Ai Engineer jobs in Decatur, GA?

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

What job categories do people searching Embedded Ai Engineer jobs in Decatur, GA look for?

The top searched job categories for Embedded Ai Engineer jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Embedded Ai Engineer jobs?

Cities near Decatur, GA with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Decatur, GA as of June 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $149,753 per year, or $72 per hour.

Staff AI Security Engineer

FanDuel

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

FanDuel rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies

Job description

THE POSITIONOur roster has an opening with your name on it
As a Staff AI Security Engineer, you'll drive how FanDuel builds and uses AI securely, from the engineers shipping production agents and models to the business use cases they power. You'll turn security into the path of least resistance and catch risk before it reaches production, across FanDuel's AI gateway, agent orchestration layer, and the growing MCP tool ecosystem.
This role sits within Security and works in close, day-to-day partnership with the teams building and operating FanDuel's AI platform. You'll help shape platform security standards, red team the agents and reference workflows running on it, and make sure security controls are built into the platform itself as it matures, rather than left to individual application teams.
Success in this role means AI/LLM and agentic security is treated as a property of the platform, enforced at the gateway and orchestration layer, not something each team reinvents.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
  • Define the AI security roadmap: Own the multi-year AI and agentic security roadmap for FanDuel-the vision, strategy, and standards-developed jointly with the teams building the AI platform, so platform and security standards are one bar, not two.
  • Secure the inference and agent stack: Drive AI/LLM and agentic security architecture across the platform as it's built out: the AI gateway and MCP tool registry, the agent orchestration layer, the skills and capability catalogue, and the evals and observability pipeline. Define controls, guardrails, and monitoring for prompt injection, jailbreaking, insecure output handling, training and retrieval data poisoning, model and data supply-chain risk, and excessive agent agency.
  • Own the MCP and tool-use attack surface: Define security requirements for MCP server registration, tool authentication and authorization, and agent-to-tool trust boundaries-from tool poisoning and confused-deputy patterns to unauthenticated or over-privileged tool access.
  • Stand up AI red-teaming: Build and run AI red-teaming and adversarial testing so failure modes are found before they reach production, and partner with the platform teams to feed those results into the platform's review process.
  • Own the AI security governance model: defining assessment frameworks using OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF to give engineering teams a clear path to shipping AI features safely.
  • Automate and scale: Build automation and tooling-automated red-team and adversarial test suites, policy-as-code for the gateway-that turns AI security into a scalable, repeatable, secure-by-default system rather than manual review.
  • Partner and mentor: Partner across Security, the AI platform teams, and the business to shape direction and trade-offs. Mentor engineers on both sides and help grow AI security capability across the organization.

THE STATS
What we're looking for in our next teammate
  • Deep, hands-on security engineering experience embedded in the software development lifecycle, from design and code review through CI/CD, deployment, and production.
  • Hands-on AI/LLM and agentic security experience: you understand how these systems fail in practice (prompt injection, jailbreaking, insecure output handling, data and model poisoning, excessive agency, tool-use exploits) and have strong, defensible opinions on how to secure them.
  • Working knowledge of the AI-specific security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF), and a pragmatic view on how established frameworks (NIST, ISO 27001, OWASP, MITRE ATT&CK, SOC 2) extend to AI systems.
  • Experience securing AI or agent infrastructure such as API gateways, agent orchestration platforms, or MCP/tool-registry architectures is strongly preferred.
  • Familiarity with LLM red-teaming and adversarial testing tooling (e.g., Garak, PyRIT, Rebuff, Lakera Guard, or equivalent) and LLM eval/observability platforms, or a real eagerness to build depth here.
  • A demonstrated track record of defining and delivering multi-year security strategy in ambiguous, fast-moving environments.
  • Strong experience building and scaling reusable security patterns and assets across an engineering organization.
  • A track record of building automation and tooling that scales security capabilities and reduces manual toil.
  • Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), CI/CD pipelines, and software development environments at scale.
  • Solid coding skills in at least one modern programming language (Python, Go, or similar).
  • Experience mentoring senior engineers and shaping technical culture across an organization.
  • Comfortable partnering closely with a platform engineering org (not just application teams) to embed controls at the infrastructure level.
  • This is a new and fast-moving field. If you bring strong security engineering fundamentals and a real track record extending into AI, we'd like to hear from you even if you don't check every box above.

ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $184,000 - $241,500 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid

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