Advanced AI Engineer (Generative AI)
Role details
Job location
Tech stack
Job description
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, * Lead the development of complex generative AI solutions to address specific aerospace business needs, ensuring scalability, efficiency, and robustness
- Collaborate with cross-functional teams to integrate generative AI solutions seamlessly into existing aerospace systems and processes
- Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives
- Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress
- Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation, and technical excellence
Requirements
- Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, or mathematics.
- Minimum 4 years of IT experience in solution architect / data scientist / software development for large corporate/organizations
- Hands-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, etc
- Minimum 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 frameworks such as Keras, TensorFlow, HuggingFace Transformers and libraries (like NLTK, Spacy, genism)
- Minimum 2 years of experience working on data science platform Databricks
- Minimum 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 VALUE
- Bachelors in Computer Science, Data Science or Engineering fields
- Master's Degree in Computer Science, Data Science or Engineering fields
- Work experience / education in data science, data engineering and analytics
- Excellent 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 databases
- Project experience with NLP/NLG, AI Conversational Agent (Chatbot), OCR
- Experience with Big data platform technologies Hadoop, PySpark, Hive, etc.
- Experience with DevSecOps framework, develop CICD pipelines, orchestrate workflow using Airflow, Opsera
- Experience with Docker and Kubernetes
- Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment
- Certifications/ Course work in Generative AI, AI/ML and Cloud platforms
- Great communication skills
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 & conditions
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 (https://benefits.honeywell.com/)