2 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: 6 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: 3.8

Website LinkedIn Glassdoor

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Honeywell

2 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: 6 hours agoStatus: Live

Job Summary

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

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: 3.8

Website LinkedIn Glassdoor