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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Advanced AI Engineer - **Company:** Honeywell International Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Security, Data Structures, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Software Construction, Feature Engineering, Data Ingestion, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Virtual Agents, Software Version Control, Docker, Databricks - **Published:** July 30, 2026 - **Apply:** https://www.beyondcharlotte.com/job.asp?id=3336345033&tx=FL737FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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., * 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 ## Description 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!, * Design, develop, and optimize Generative AI and Agentic AI solutions for 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., 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. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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