Honeywell · 9 hours ago
Senior Advanced AI Platform Engineer
Atlanta, GA, United States
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expHoneywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a Senior Advanced AI Platform Engineer, you will lead the design and development of AI algorithms, models, and systems, acting as the subject matter expert for AI projects and driving technical excellence.
AerospaceElectronicsManufacturingInformation TechnologyInnovation ManagementService Industry
No H1B
U.S. Citizen Only
Responsibilities
Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model training, serving, experiment tracking, and feature store components
Build and optimize data pipelines processing billions of time-series IoT events using Databricks, Spark, and streaming frameworks
Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems
Develop and maintain CI/CD automation for model deployment across cloud and edge environments
Architect and deploy AI inference services on edge GPU hardware for real-time building automation use cases
Optimize model performance for edge constraints including quantization, model distillation, and inference acceleration
Build containerized inference microservices that operate reliably in disconnected or low-bandwidth environments
Work with semantic object models and building automation ontologies to map BMS point names to standardized equipment taxonomies
Build and integrate knowledge graph pipelines supporting equipment classification, fault diagnostics, and energy optimization
Develop RAG-based retrieval systems for product documentation and maintenance knowledge bases
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
Qualification
Required
Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
8 plus years of experience in software engineering, data engineering, or ML platform engineering
Strong proficiency in Python and at least one systems language (Go, Rust, or C Plus Plus)
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, or equivalent agentic AI orchestration tools
Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms
Familiarity with building automation protocols (BACnet, Modbus) and IoT time-series data at scale
Experience with knowledge graphs, ontology engineering, or semantic web technologies
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization
Preferred
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
Benefits
Employer subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)
12 Paid Holidays
Company
Honeywell
Honeywell is a technology and manufacturing company that produces products for the automation, aviation, and energy transition industries.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$11.4M2009-10-27Grant· $11.4M
1985-09-27IPO
Leadership Team
Jim Masso
President & CEO - Honeywell Process Solutions
Vimal Kapur
Chairman and Chief Executive Officer
Recent News
2026-02-12
2026-02-12
Company data provided by crunchbase