Sr Advanced AI Platform Engineer

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.

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.