Senior AI Platform Engineer – Edge & Cloud Orchestration

Honeywell; Atlanta (GA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Disability Insurance

401(k) match

HSA/FSA options

Paid Time Off

Paid Holidays

Job summary

Honeywell is seeking a Full Stack AI Platform Engineer to design, build, and scale an enterprise AI/ML platform. You will handle IoT streaming pipelines, knowledge graphs, and LLM orchestration, surfacing autonomous insights to engineers and OT security analysts.

You will operate across cloud-native platforms to edge GPU hardware, building production-grade infrastructure and CI/CD for model deployment and monitoring. Hybrid work from Atlanta, GA with onsite first 90 days.

Qualifications

• 8+ 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.

Responsibilities

• 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.

Skills

Python

Go

Rust

C++

Databricks

BigQuery

Azure Data Lake

Kubernetes

LangChain

LangGraph

Langsmith

NVIDIA Jetson

Knowledge Graphs

Education

Bachelor's degree in CS/AI or related field

Tools

FastAPI

Azure IoT Edge

MLflow

LangSmith

Job description

Honeywell is seeking a Full Stack AI Platform Engineer to design, build, and scale an enterprise AI/ML platform. You will handle IoT streaming pipelines, knowledge graphs, and LLM orchestration, surfacing autonomous insights to engineers and OT security analysts.

You will operate across cloud-native platforms to edge GPU hardware, building production-grade infrastructure and CI/CD for model deployment and monitoring. Hybrid work from Atlanta, GA with onsite first 90 days.