Sr Advanced AI Platform Engineer

Honeywell
Atlanta
Workplace: HybridFull timeFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsEducation: bachelorsSkills: ["Python","FastAPI","LangGraph","LangSmith","LangChain","MLflow","Kubernetes","Databricks","BigQuery","Azure Data Lake","Azure IoT Edge","NVIDIA Jetson","Edge GPU","React","ML pipelines","Model serving","CI/CD"]

Design, build, and scale an enterprise AI/ML platform powering intelligent automation across a global portfolio. You’ll develop high-throughput IoT pipelines and knowledge graph infrastructure, orchestrate LLM/edge AI workflows, and deliver React-based interfaces for plant engineers, facility managers, and OT security analysts. Work across cloud-native platforms to edge GPU hardware in a hybrid Atlanta, GA team environment.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Honeywell
Honeywell
3 months ago

Sr Advanced AI Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design, build, and scale an enterprise AI/ML platform powering intelligent automation across a global portfolio. You’ll develop high-throughput IoT pipelines and knowledge graph infrastructure, orchestrate LLM/edge AI workflows, and deliver React-based interfaces for plant engineers, facility managers, and OT security analysts. Work across cloud-native platforms to edge GPU hardware in a hybrid Atlanta, GA team environment.
Location: Atlanta
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Own AI/ML platform engineering tasks end-to-end, delivering production-grade services across multi-cloud and edge environments.
  • •Develop high-performance Python APIs for on-device model inference and build enterprise AI/ML platform services including deployment, serving, and experiment tracking.
  • •Create robust CI/CD stacks to test inference logic and deploy API services to edge devices.
  • •Implement ML orchestration workflows using LangGraph, MLflow, and custom layers for multi-agent AI systems.
  • •Develop and integrate AI workloads using ML-ops and tracing tools like LangSmith and design automated data pipelines for real-time sensor inputs.

Pay and Benefits

Perks:401kMedicalDentalVisionLife InsurancePar ParentalParental Leave

Key Requirements

  • •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:8+ yearsAI/MLData engineeringIoTEdge AI
Education:Bachelor's
Skills:PythonFastAPILangGraphLangSmithLangChainMLflowKubernetesDatabricksBigQueryAzure Data LakeAzure IoT EdgeNVIDIA JetsonEdge GPUReactML pipelinesModel servingCI/CD
Languages:English
Tech Stack:PythonFastAPILangGraphLangSmithLangChainMLflowKubernetesDatabricksBigQueryAzure Data LakeAzure IoT EdgeNVIDIA JetsonReactAzure Machine LearningEdge AI

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor