Honeywell

Sr Advanced AI Platform Engineer

Honeywell • $120K — $150K *
Atlanta, GA 30349In-Person
Enterprise Technology
8 - 10 years of experience
1 week ago
Job Overview by Ladders

Qualifications

  • 8+ years of experience in software engineering, data engineering, or ML platform engineering.
  • Strong proficiency in Python and at least one systems language.
  • Deep hands-on experience with cloud-native data platforms like Databricks or Azure Data Lake.
  • Production experience building and deploying ML/AI pipelines.
  • Experience with LLM application frameworks such as LangChain and LangGraph.
  • Experience with edge AI deployment on platforms like NVIDIA Jetson.
  • Familiarity with knowledge graphs and semantic web technologies.

Responsibilities

  • Develop high-performance Python APIs for on-device model inference.
  • Design and maintain enterprise AI/ML platform services on multi-cloud infrastructure.
  • Build CI/CD stacks to automate testing and deployment of API services.
  • Implement ML orchestration workflows for multi-agent AI systems.
  • Develop and integrate AI workloads using ML-Ops and tracing tools.
  • Design automated data processing pipelines for real-time model inputs.
  • Convert experimental code into modular, maintainable Python packages.

Benefits

  • Work in a hybrid setting with required onsite presence for the first 90 days.
  • Opportunity to work on cutting-edge AI/ML technologies.
  • Engage with a global portfolio of intelligent automation solutions.
  • Collaborate in a dynamic, fast-paced development environment.
Full 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.


About Honeywell

Honeywell Aerospace is an American company that manufactures aircraft engines, avionics, auxiliary power units (APUs), and other aviation products. The company’s product portfolio includes space equipment, turbine engines, auxiliary power units, brakes, wheels, synthetic vision, runway safety systems and other avionics. President Barack Obama awarded a Honeywell employee the National Medal of Technology for his contributions to air flight safety technology. The company also owns a number of patents related to NextGen technology, aircraft windshields, turbochargers, and more. Honeywell Aerospace was founded in 1936 and is headquartered in Phoenix, Arizona.

Honeywell Careers

Joining Honeywell offers more than just job opportunities; it's a chance to grow with a company known for leadership in innovation and diversity. As a global leader, Honeywell is where your professional journey can reach new heights through a commitment to excellence and continuous improvement.

Work You'll Do

At Honeywell, you'll be part of a team that drives digital transformation across industries. With a focus on sustainability and advanced technologies, Honeywell is not just preparing for the future; we're creating it. Our diverse and inclusive culture fuels our innovation and connects us closer to our customers and the communities in which we operate.

Innovate and Lead

Embrace the opportunity to lead in the marketplace with Honeywell's cutting-edge solutions. Our leadership in areas such as aerospace, building technologies, and performance materials allows you to engage in work that makes a difference. Honeywell is at the forefront of tackling global challenges with innovative technology that improves quality of life.

Career Growth and Opportunities

Whether you're looking for an internship, a graduate role, or a leadership position, Honeywell offers a path to career success. Honeywell's commitment to professional growth is evident in our extensive training and development programs, aimed at expanding your skills and advancing your career.

Join a Dynamic Team

Honeywell's team culture is built on collaboration and respect. With a global team of professionals, you'll network with some of the brightest minds, working together to solve complex challenges. Our commitment to diversity and inclusive growth makes Honeywell not just a great place to work, but a place where your career can thrive.

Benefits and Culture

Honeywell is dedicated to providing employees with a life-work harmony through substantial benefits, including health, education, and retirement plans, ensuring peace of mind for you and your family. Our culture promotes quick learning, flexibility, and adaptation, which are critical in our fast-evolving industries.

Explore Job Opportunities

Discover the range of career opportunities at Honeywell, from engineering to sales, and contribute to our mission of shaping the future. Our hiring process is designed to find not just the right skills but also the right fit for Honeywell's culture.

Stay Connected

Join the Honeywell team to stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here.

Apply Now

Ready to apply? Check out the open positions on the Honeywell Careers page. Tailor your resume, prepare for your interview, and take the first step towards a rewarding career at Honeywell.

Keep Up to Date

Stay informed with the latest news, job alerts, and professional insights tailored to your interests. At Honeywell, your career journey is just beginning.

SEARCH HONEYWELL JOBS

Join Honeywell and be part of a team that is dedicated to building a smarter, safer, and more sustainable world.
Learn more about Honeywell
Size
99,000 employees
Market Cap
$143.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.7 billion
Founded
1906
5 Year Trend
-2.6%
Revenue
$32.6 billion
NASDAQ
HON
* Ladders Estimates

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