Sr Advanced AI Engineer

Honeywell International, Inc.; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive benefits package

Parental Leave

Paid Time Off

12 Paid Holidays

Job summary

Honeywell is seeking a Senior Advanced AI Engineer in Atlanta to design, develop, and deploy AI-driven solutions for smart buildings and industrial automation. You will build ML models, integrate them into BMS/ICS, and drive innovation across HVAC, energy optimization, and security.

You will mentor engineers, lead POCs, optimize real-time inference, and collaborate with data engineering, MLOps, and platform teams to deliver scalable AI applications.

Qualifications

• Strong proficiency in Python and ML libraries.
• Experience with Kubernetes, Databricks, or comparable platforms.
• Familiarity with CI/CD practices for AI/ML workflows.
• Working knowledge of PySpark for data exploration.
• Ability to build models with noisy or sparsely labeled data.
• Experience with MLflow or similar tools for tracking and registry.
• Knowledge of production-ready model conversion (TorchScript, ONNX).
• Cloud & edge deployment experience is a plus.

Responsibilities

• Design, develop, and deploy AI-driven solutions for smart buildings and industrial automation.
• Integrate AI/ML models into Building Management Systems and Industrial Control Systems.
• Implement real-time and batch inference workflows and optimize latency.
• Lead POCs, mentor junior engineers, and translate concepts into practical automation.
• Collaborate with MLOps, data engineering, and platform teams on deployment and monitoring.

Skills

Python

ML libraries

Kubernetes

CI/CD for ML

PySpark

Python debugging

NLP

Time-series forecasting

Computer vision

Reinforcement learning

Edge deployment

Model registries

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Kubernetes

Databricks

TorchScript

ONNX

NVIDIA Triton

Job description

As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for smart buildings and industrial automation systems. Your primary focus will be building advanced ML models, integrating them into real-world control environments, and driving innovation across HVAC, lighting, security, and energy optimization. You will collaborate cross‑functionally, mentor junior engineers, and influence multiple projects with your technical expertise.

• AI Solutions Design & Integration

• Design and integrate AI/ML models into Building Management Systems (BMS) and Industrial Control Systems (ICS), including SCADA and PLC environments.

• Implement real‑time API–based and batch‑inference workflows.

• Develop model feedback loops to support continuous learning and performance improvement.

• Build algorithms for real‑time decision‑making using sensor, IoT, and industrial process data.

• Data Engineering

• Partner with Data Engineering teams on ETL workflows and data preparation for large‑scale building and industrial datasets (e.g., HVAC telemetry, energy consumption, machine performance).

• Contribute to feature engineering and ensure data readiness for modeling

• Support the development of training pipelines that leverage model registries and tracking systems.

• Innovation & Research

• Explore emerging technologies such as generative AI, digital twins, multimodal foundation models, and autonomous control systems.

• Lead proof‑of‑concept initiatives and mentor junior engineers through early‑stage experimentation.

• Translate innovative concepts into practical solutions for automation and building intelligence.

• Performance Optimization

• Collaborate with MLOps teams to optimize real‑time inference across platforms (AKS, GKE, on‑prem microk8s).

• Work with production‑ready inference runtimes such as vLLM, ONNX Runtime, and NVIDIA Triton.

• Contribute to model conversion, quantization, and optimization for efficient inference.

• Partner with platform engineers on deployment strategies, scalability, and monitoring.

• Compliance & Security

• Ensure all AI solutions comply with cybersecurity standards and industrial safety protocols.

• Maintain training and inference repositories to meet corporate and industry security requirements.

MUST HAVE

• Technical Expertise

• Strong proficiency in Python and ML libraries such as PyTorch, TensorFlow, JAX, XGBoost, and scikit‑learn.

• Experience with Kubernetes, Databricks, or comparable platforms.

• Familiarity with CI/CD practices for AI/ML workflows.

• Working knowledge of PySpark for data exploration and pipeline contributions.

• Strong debugging, profiling, and performance engineering skills in Python.

• AI/ML Knowledge

• Expertise in one or more key domains: NLP, time‑series forecasting, computer vision, or reinforcement learning.

• Ability to build models with noisy or sparsely labeled datasets.

• Experience using MLflow or similar tools for tracking, reproducibility, and model registry.

• Knowledge of converting models for production inference (TorchScript, ONNX).

• Experience with model performance optimization (e.g., quantization, latency tuning).

• Working knowledge of applying, fine‑tuning, and optimizing foundation models for domain‑specific tasks across text, vision, or time‑series modalities.

• Ability to make informed accuracy–cost trade‑offs during model design.

• Innovation Skills

• Ability to identify emerging AI trends and translate them into practical solutions.

• Experience in rapid prototyping, proof‑of‑concept development, and technology scouting.

• Strong problem‑solving mindset with a focus on creative and disruptive solutions.

• Cloud & Edge Computing

• Knowledge of AI/ML offerings from major cloud providers (Azure, GCP, or AWS).

• Experience deploying AI/ML solutions on edge devices (e.g., NVIDIA Jetson) is a plus but not mandatory.

• Education & Experience

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field; Master’s degree preferred.

• Bachelor’s + 6 years of relevant AI/ML experience

• Master’s + 4 years of relevant AI/ML experience

• PhD + 2 years of relevant AI/ML experience

WE VALUE

• Experience optimizing deep learning models for NVIDIA Jetson–based edge systems.
• Experience contributing to platform‑agnostic AI/ML solutions.
• Proven end‑to‑end ownership of the ML lifecycle, including training, deployment, and feedback loops.
• Experience with smart building platforms, SCADA systems, or energy management solutions.
• Demonstrated success delivering innovative AI solutions within automation domains.

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 (https://benefits.honeywell.com/)

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.