Advanced AI Engineer

As an Advanced AI Engineer, you will design, develop, and deploy cutting-edge AI solutions with a strong focus on Generative AI (GenAI) and Agentic AI systems. You will build intelligent, autonomous AI agents using modern orchestration frameworks such as LangChain, LangGraph, and Databricks Mosaic AI Agent Framework, delivering scalable, secure, and production-ready AI systems tightly integrated with enterprise workflows.

You will collaborate closely with cross-functional teams to identify high-impact AI use cases, architect end-to-end solutions, and operationalize AI at scale using cloud platforms and MLOps best practices.

You will report directly to our Sr. AI Manager and you'll work out of our Charlotte, NC or Atlanta, GA locations on a Hybrid work schedule.

In this role, you will impact critical AI initiatives and drive technical excellence within the organization. This is a unique opportunity to play a key role in shaping the future of AI technology within a company known for its commitment to excellence. Let''s shape the future together!

KEY RESPONSIBILITIES

• Design, develop, and optimize Generative AI and Agentic AI solutionsfor real-world, enterprise-grade applications.
• Build and orchestrate AI-powered agents and multi-agent systems using frameworks such as LangChain, LangGraph, and Databricks Mosaic AI Agent Framework.
• Architect and implement end-to-end AI pipelines, including data ingestion, feature engineering, model training, evaluation, and inference.
• Collaborate with product, data, platform, and business stakeholders to identify AI use cases and translate requirements into scalable AI solutions.
• Deploy and manage AI models and agents on cloud platforms (Azure, AWS, or GCP)using containerization (Docker/Kubernetes) and modern MLOps practices.
• Implement model monitoring, observability, and performance tracking to ensure accuracy, reliability, and responsible AI usage in production.
• Leverage MLflow for experiment tracking, model versioning, and lifecycle management.
• Utilize Databricks AI/ML Platform, including Unity Catalog, for governed data access, feature management, and secure AI deployments.
• Ensure AI systems meet enterprise standards for scalability, security, compliance, and maintainability.
• Stay current with emerging AI technologies, frameworks, and research, driving innovation and continuous improvement across AI solutions.

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.

YOU MUST HAVE

• 6+ years of hands-on experience in AI/ML development, deployment, and productionization.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Proven hands-on experience building LLM-based applications and AI agents using LangChain, LangGraph, or similar frameworks.
• Experience deploying AI solutions on Azure, AWS, or GCP, with a solid understanding of cloud-native architectures.
• Strong foundation in data structures, algorithms, and software engineering best practices.
• Experience implementing MLOps pipelines, including CI/CD, model versioning, and monitoring.

WE VALUE

• Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• Experience working in an agile development environment
• Proficiency in cloud development projects and initiatives
• Strong knowledge of Generative AI models, including Large Language Models (LLMs) and diffusion-based models.
• Expertise in prompt engineering, retrieval-augmented generation (RAG), and tool-augmented LLM workflows.
• Experience designing Agentic AI architectures, autonomous workflows, and multi-agent systems.
• Hands-on experience with Databricks Mosaic AI, MLflow, and Unity Catalog for governed AI development.
• Familiarity with CI/CD pipelines for AI/ML solutions and infrastructure-as-code practices.
• Strong problem-solving skills with the ability to design scalable and maintainable AI systems.
• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Ability to work in a fast-paced and dynamic environment with attention to detail and excellent problem-solving capability

BENEFITS OF WORKING FOR HONEYWELL

• Benefits - Medical, Vision, Dental, Mental Health
• Paid Vacation
• 401k Plan/Retirement Benefits (as per regional policy)
• Career Growth
• Professional Development

ABOUT HONEYWELL

Honeywell 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 UNIT

The Corporate Strategic Business Group (CORP SBG) at Honeywell is a division focused on corporate-level functions and initiatives that support the overall operations and strategy of the company. It is responsible for overseeing areas such as finance, legal, human resources, communications, and corporate governance, working closely with other business units and SBGs to ensure alignment and coordination across the organization. The CORP SBG plays a crucial role in the overall strategic direction and management of Honeywell''s corporate functions and operations, supporting the company''s business objectives.

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: May 19, 2026.