The future is what you make it. When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars. Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to dynamic career opportunities across different fields and industries. Are you ready to help us make the future?
Join a company that is transforming from a traditional industrial company to a contemporary digital industrial business, harnessing the power of cloud, big data, analytics, Internet of Things, AI/ML (Machine Learning), Automation and design thinking. You will support change that brings value to our customers, partners, and shareholders through the creation of innovative software and data-driven products and services. You will help engineer contemporary applications and services, constructing solutions that remain scalable, adaptable and replicable. You will be part of transforming Honeywell's IT organization through the delivery of technology products that will directly impact the company's growth.
You will be part of the IT Information Management & Analytics team and in this role, you will at the forefront of implementing state-of-the-art Generative AI, Machine Learning and AI Cognitive Services enhanced business use cases. This Advanced AI Engineer role will work with the business stakeholders, IT business partners, functional consultants, and infrastructure/technology teams to deliver innovative AI technology solutions that accelerate digital transformation and drive operational efficiency as well as business growth. You will focus primarily on the full cycle delivery of AI/ML use cases from requirements/design to release, driving the evolution of AI/ML infrastructure/process, and enabling Intelligent Apps & Automation, next generation of AI Copilots/Assistants, etc.
You will report directly to our Sr. Director, AI and you’ll work out of our Phoenix, AZ location on a Hybrid work schedule.
Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F
YOU MUST HAVEBachelors in Computer Science, Data Science or Engineering fieldsMinimum 4 years of IT experience in solution architect / data scientist / software development for large corporate/organizationsHands-on experience in LLM engineering and LLMOps, including advanced prompt engineering and fine-tuning of LLMs.Minimum 3 years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etcMinimum 3 years of hands-on experience with Python programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow etc.Minimum 2 years of experience in building AI solutions with NLP/NLG framworks such as Keras, TensorFlow, HuggingFace Transformers and libraries (like NLTK, Spacy, genism)Minimum 2 years of experience working on data science platform DatabricksMinimum 2 years of experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and Databricks.WE VALUEMaster's Degree in Computer Science, Data Science or Engineering fieldsWork experience / education in data science, data engineering and analyticsExcellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning.Understanding of application development framework like LangChain, LlamaIndex, and knowledge of vector index, vector databasesProject experience with NLP/NLG, AI Conversational Agent (Chatbot), OCRExperience with Big data platform technologies Hadoop, PySpark, Hive, etc.Experience with DevSecOps framework, develop CICD pipelines, orchestrate workflow using Airflow, OpseraExperience with Docker and KubernetesWorking Experience in an Agile/Scrum/Scaled Agile and DevOps based team environmentCertifications/ Course work in Generative AI, AI/ML and Cloud platformsGreat communication skillsUS 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 or have the ability to obtain an export authorization.BENEFITS OF WORKING FOR HONEYWELLIn 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 (https://benefits.honeywell.com/)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: February 19, 2026.ABOUT HONEYWELLHoneywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's 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 (https://www.honeywell.com/us/en)THE BUSINESS UNITHoneywell 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 21,000 employees globally. To learn more, please visit here (https://aerospace.honeywell.com/). #AERO26
Key Responsibilities:Develop and Deploy advanced Generative AI large language models, Machine Learning and Deep Learning Models/algorithms to enhance and/or automate existing business processes with predictive and intelligent decision making, content aggregation and contextualized insights.Collaborate with data scientists and data engineers to build production-level models and pipelines, including any required preprocessing of input datasets and postprocessing after model inference.Processing, cleansing and verifying the integrity of structured and unstructured business data used for analysis.Analyze large amount of information to discover underlying trends and patterns that are relevant for solving business problems. Select features and perform proper data transformation to optimize datasets for building the models.Evaluate, visualize and communicate the AI/ML model results and correlation with business KPI’s.Work in a startup-type environment to design and build innovative applications using Automation, Machine Learning/Cognitive Service, business / functional proofs-of-concepts to scalable, production ready solutions across a strategic business group Actively lead, analyze and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact.Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process.Help develop standard operation practices and support the Operations Teams through UAT and after go-live.Continuously optimize the existing AI/ML operations and help build effective model performance monitoring, alert, and improvement framework to proactively identify problems/issues before business impact.Partner and effectively communicate with Non-IT / Business users, functional counterparts and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right technical solution.