Sr AIOps Engineer

As a Sr AI OPS Engineerhere at Honeywell you will play a crucial role in designing and implementing advanced data solutions for AI solutions that drive business insights enhance decision-making processes and empower AI solutions. Your expertise will help in critical AI development activities across all AI modalities (classic Gen and agentic) and data types (structured and unstructured).

You will report directly to our AI Director and youll work out of our Phoenix AZ location on a Hybrid work schedule. Note: New Hires will work onsite M-F for the first 90 days.

In this role you will impact the organization by leveraging your technical skills to develop innovative software solutions that support strategic initiatives and improve operational efficiency.

KEY RESPONSIBILITIES

• Lead the design automation and operation ofendtoend MLOps pipelinessupporting classic ML GenAI/LLM systems and agentic AI workloads across Databricks and Dataiku.
• Build maintain and optimize training evaluation and deployment pipelines ensuring reliability reproducibility and alignment with business objectives.
• Collaborate with data scientists AI software developers data engineers and platform engineers to operationalize models LLMs RAG workflows and agentic AI capabilities.
• Architect and implement solutions fordistributed training hyperparameter optimization accelerated inference and performancetuned model serving.
• Develop automated testing validation governance and monitoring frameworks for ML/LLM/agentic workflows including drift detection model quality and guardrail coverage.
• Own CI/CD pipelines for model assets prompts embeddings vector search updates and agent tool registries using GitHub Actions and modern ML deployment frameworks.
• Manage MLflow experiment tracking model registry lifecycle lineage and promotion flows across multiple environments in Databricks and Dataiku.
• Optimize integration between ML frameworks (PyTorch TensorFlow scikitlearn) and cloudbased compute ecosystems including Spark Kubernetes and serverless runtimes.
• Ensure production-grade reliability scalability performance and observability of all deployed AI workloads (classic GenAI agentic).

• Establish best practices patterns reusable templates and standards for MLOps across the AI delivery lifecycle.

YOU MUST HAVE

• Bachelors degree from an accredited institution in a technical discipline such as science technology engineering mathematics.
• 68 yearsof strong experience developing and deploying models using ML deep learning NLP and related AI techniques.
• 68 yearsof hands-on experience with Python and PySpark in a production programming-intensive role.
• 46 yearsof industry experience with ML frameworks such as TensorFlow Keras PyTorch HuggingFace Transformers and scikit-learn.
• 4 yearsof experience building deploying and supporting ML models in production with ownership over model lifecycle and automation.
• 46 yearsof hands-on experience with Databricks (preferably on AWS) including MLflow Delta Lake Jobs and MLOps architecture patterns.
• Strong experience with distributed computing frameworks (Spark Kubernetes ecosystem or similar).
• Proficiency withGitHub Actionsand CI/CD pipelines for ML/AI workloads.
• Experience integrating ML workloads with data platforms such asSnowflakeand orchestrating workflows inDataiku.
• Expertise in at least two AI/ML domains (e.g. classic ML deep learning NLP GenAI).
• Excellent communication skills with the ability to partner across engineering data science and product teams.

WE VALUE

• Bachelors or advanced degree in Computer Science Mathematics Statistics Engineering or a related field.
• Experience operationalizingGenAIsystems including prompt pipelines finetuning LLM evaluation and RAG orchestration.
• Familiarity withagentic AI patterns including memory stores tool registries multistep reasoning evaluation and safety/guardrail integration.
• Hands-on experience with vector databases (Databricks Vector Search OpenSearch Pinecone Chroma).
• Experience building automated quality gates: data validation model audits bias checks content safety tests and regression testing for LLMs and agents.
• Knowledge of scalable serving architectures: Model Serving serverless inference API Gateways and lowlatency microservices.
• Passion for automation reproducibility observability and building resilient AI systems.
• Curiosity experimentation mindset and desire to continuously improve the AI development lifecycle across classic GenAI and agentic AI.

BENEFITS OF WORKING FOR HONEYWELL

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: click here

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. Posting Date: February 18 2026

US PERSON REQUIREMENT

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.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds most critical challenges around energy safety security air travel productivity and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency productivity sustainability and safety in high growth businesses in broad-based attractive industrial end markets. Our products and solutions enable a safer more comfortable and more productive world enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT

Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial defense and space aircraft in the world. We build aircraft engines cockpit and cabin electronics wireless connectivity systems mechanical components and more and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel more fuel-efficient and better-maintained aircraft more direct and on-time flight arrivals safer skies and airports and more comfortable flights along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21000 employees globally. To learn more please visit click here.

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