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Full Stack Ai Engineer Jobs in Atlanta, GA (NOW HIRING)

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Marietta, GA · On-site

$100K - $138K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Druid Hills, GA · On-site

$101K - $139K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Lithia Springs, GA · On-site

$96K - $132K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Vinnings, GA · On-site

$97K - $134K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Brookhaven, GA · On-site

$102K - $141K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Doraville, GA · On-site

$102K - $140K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Sandy Springs, GA · On-site

$103K - $142K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Dunwoody, GA · On-site

$103K - $142K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Mableton, GA · On-site

$95K - $130K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

North Decatur, GA · On-site

$102K - $140K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Decatur, GA · On-site

$102K - $140K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Smyrna, GA · On-site

$102K - $140K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Hapeville, GA · On-site

$100K - $137K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Powder Springs, GA · On-site

$99K - $135K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Marietta, GA · On-site

$99K - $136K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Austell, GA · On-site

$95K - $131K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Showing results 21-40

Full Stack Ai Engineer information

See Atlanta, GA salary details

$42.8K

$129.6K

$183.2K

How much do full stack ai engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for full stack ai engineer in Atlanta, GA is $129,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $151,900.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

What job categories do people searching Full Stack Ai Engineer jobs in Atlanta, GA look for?

The top searched job categories for Full Stack Ai Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Full Stack Ai Engineer jobs?

Cities near Atlanta, GA with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $129,603 per year, or $62.3 per hour.

Sr Advanced AI Platform Engineer

Honeywell

Atlanta, GA • On-site

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 540 rated manufacturers


Job description

Job Description
We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform team. This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio.
As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights to plant engineers, facility managers, and OT security analysts.
You will work at the intersection of data engineering, machine learning operations, and edge AI - building production-grade infrastructure that processes billions of IoT events from building management systems, deploys models to edge devices, and enables AI-driven applications including predictive diagnostics, energy monitoring, and RAG-based knowledge systems.
This is a high-impact individual contributor role for someone who thrives in ambiguity, ships production systems, and can operate across the full stack from cloud-native platforms to edge GPU hardware. You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a hybrid basis.
  • Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F.

KEY RESPONSIBILITIES
AI/ML Platform Engineering
  • Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary interface for on-device model inference
  • Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking.
  • Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API services to edge devices.
  • Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems.
  • Develop and integrate AI workloads using ML-Ops and tracing tools like LangSmith.
  • Design and implement automated data processing pipelines within FastAPI to handle real-time sensor or image inputs for the model.
  • Bridge the gap between research and deployment by converting code from experimental into modular, maintainable Python packages.

Edge AI & Inference
  • Ability to integrate and run pre-built AI models on local hardware using standard industry runtimes.
  • Skilled at building the software logic required to process data inputs and handle model outputs efficiently.
  • Expert at developing Python-based services and automating their deployment to devices via standardized pipelines.
  • Capable of monitoring and optimizing software to run reliably within strict memory and hardware limitations.
  • Experience deploying containerized models from Azure to edge devices using Azure IoT Edge or managed online endpoints

Data & Knowledge Engineering
  • Experience building pipelines to structure, clean, and store data for model training or real-time retrieval (RAG) on edge devices
  • Ability to convert experimental data processing logic from notebooks into production-ready Python modules.
  • Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is available for continuous model improvement.

Production Operations & Reliability
  • Own platform reliability for AI services serving multiple business units.
  • Implement observability, monitoring, and alerting for ML pipelines and inference services.
  • Drive cost optimization across data platform workloads, cloud compute, and storage infrastructure.
  • Proficient in using Azure Machine Learning Studio to manage the full lifecycle of models, including registration, versioning, and monitoring.

Qualifications
YOU MUST HAVE
  • 8 plus years of experience in software engineering, data engineering, or ML platform engineering.
  • Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
  • Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes).
  • Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking.
  • Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or equivalent agentic AI orchestration tools.
  • 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's / Advanced degree in Computer Science, Artificial Intelligence, or related field.
  • Background in building management systems, HVAC, energy management, or industrial IoT domains.
  • Strong leadership and management skills.
  • Experience working in an agile development environment.
  • Proven ability to drive successful cloud development projects and initiatives.
  • Ability to work in a fast-paced and dynamic environment.
  • Attention to detail and excellent problem-solving capability.

US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization.
ABOUT HONEYWELL
Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: https://benefits.honeywell.com/
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 5/21/2026
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906