Sr Advanced AI Engr

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 crossfunctionally 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 realtime APIbased and batchinference workflows.
  • Develop model feedback loops to support continuous learning and performance improvement.
  • Build algorithms for realtime decisionmaking using sensor IoT and industrial process data.
• Data Engineering
  • Partner with Data Engineering teams on ETL workflows and data preparation for largescale 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 proofofconcept initiatives and mentor junior engineers through earlystage 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 onprem microk8s).
  • Work with productionready 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 scikitlearn.
  • 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 finetuning and optimizing foundation models for domain-specific tasks across text vision or timeseries modalities.
  • Ability to make informed accuracycost trade-offs during model design.
• Innovation Skills
  • Ability to identify emerging AI trends and translate them into practical solutions.
  • Experience in rapid prototyping proofofconcept development and technology scouting.
  • Strong problemsolving 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
  • Bachelors degree in Computer Science Electrical Engineering or a related field; Masters degree preferred.
  • Bachelors 6 years of relevant AI/ML experience
  • Masters 4 years of relevant AI/ML experience
  • PhD 2 years of relevant AI/ML experience

WE VALUE

• Experience optimizing deep learning models for NVIDIA Jetsonbased edge systems.
• Experience contributing to platformagnostic AI/ML solutions.
• Proven endtoend 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

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 candidates. Job Posting Date: 03/27/2026.

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.