Sr Advanced AI Engineer

Honeywell Technologies; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

401(k) match

Paid Time Off

Education Assistance

Job summary

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

You will mentor junior engineers, collaborate cross-functionally, and influence multiple projects with your technical expertise, including real-time and batch inference, data pipelines, and

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field; Master’s preferred.
• 6+ years of AI/ML experience for Bachelor’s path; 4+ years for Master’s path; PhD + 2 years option.

Responsibilities

• Design and deploy AI/ML models for Building Management Systems (BMS) and Industrial Control Systems (ICS).
• Integrate real-time API-based and batch inference workflows.
• Collaborate with Data Engineering on ETL for large-scale building datasets.
• Lead PoC initiatives and mentor junior engineers.

Skills

Python

ML libraries

Kubernetes

CI/CD

PySpark

Education

Bachelor's degree in CS/EE

Master's degree preferred

PhD + 2 years experience

Tools

Databricks

ONNX Runtime

NVIDIA Triton

vLLM

TorchScript

Job description

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.

Responsibilities

• 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.

Qualifications

• 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.

Benefits

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.

Compliance & Eligibility

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.

About Us

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.