Senior Advanced AI Platform Engineer

As a Senior Advanced AI Platform Engineer here at Honeywell you will lead the design and development of AI algorithms models and systems. You will act as the subject matter expert for AI projects and drive technical excellence. You will report directly to our Senior Director of Engineering and youll work out of our Atlanta GA location on a Hybrid work schedule.

We are seeking a Senior Advanced 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 building automation across a global portfolio.

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.

Key Responsibilities

AI/ML Platform Engineering

• 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.

Edge AI & Inference

• 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.

Data & Knowledge Engineering

• 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.

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.

YOU MUST HAVE

• Bachelors 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.

WE VALUE

• 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.

In addition to a competitive salary leading-edge work and developing solutions side-by-side with dedicated experts in their fields Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical Dental Vision and Life Insurance; Short-Term and Long-Term Disability; 401(k) match Flexible Spending Accounts Health Savings Accounts EAP and Educational Assistance; Parental Leave Paid Time Off (for vacation personal business sick time and parental leave) and 12 Paid Holidays. For more information visit:Benefits at Honeywell

The application period for the job is estimated to be 40 days from the job posting date; however this may be shortened or extended depending on business needs and the availability of qualified Posting Date: February 13 2026.

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.