> Markdown version of [/jobs/ext/2008549-sr-advanced-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2008549-sr-advanced-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Advanced AI Engineer - **Company:** Honeywell International Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Code Review, Continuous Integration, Middleware, Python (Programming Language), Machine Learning, Regression Testing, Search Technologies, Software Engineering, TypeScript, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Caching, Fastapi, AI Platforms, Information Technology, Machine Learning Operations, Serverless Computing, Databricks, Microservices - **Published:** August 9, 2026 - **Apply:** https://www.jofdav.com/jobs/59152602-sr-advanced-ai-engineer ## About the Role * 7 or more years of professional software engineering experience. * 3 or more years of hands-on experience designing, building, and deploying AI/ML, GenAI, or LLM-powered applications in production environments. * Experience with AI orchestration frameworks such as LangGraph and LangChain. * Strong hands-on experience building cloud-native services using Python (FastAPI) and/or Node.js/TypeScript. * Experience implementing RAG architectures, vector databases, and semantic search solutions. * Experience integrating LLM APIs and AI services into enterprise applications. * Knowledge of secure AI application design, guardrails, governance, and observability practices., * Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related field. * Experience building integrations for agentic AI systems, including tool registries, function-calling logic, multi-step planning support, memory stores, and safety guardrails. * Experience with vector databases and retrieval frameworks (Databricks Vector Search, OpenSearch, Pinecone, Milvus). * Knowledge of LLM/GenAI concepts (prompt engineering, orchestration, multi-turn conversation flows, caching strategies, re-ranking). * Familiarity with CI/CD practices for AI services and collaboration with MLOps (MLflow, evaluation pipelines, quality gates). * Experience building observability into AI services-tracing, metrics, logs, alerting, and model/agent behavior monitoring. * Strong problem solving skills with an eye toward performance, scalability, and maintainability. * Curiosity, adaptability, and a passion for applying emerging AI technologies responsibly and effectively. ## Description As a Senior Advanced AI Engineer here at Honeywell, you will play a crucial role in the development of advanced AI solutions that drive business insights, enhance decision-making processes and empower AI solutions. Your expertise will help in critical data science 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 you'll work out of our Phoenix, AZ or Charlotte, NC location on a hybrid work schedule., * Design and develop AI application services and middleware that connect classic ML models, GenAI/LLM systems, and agentic AI components to enterprise applications and workflows. * Build production-grade RAG (Retrieval-Augmented Generation) services, including chunking pipelines, embedding APIs, retrieval endpoints, caching, re-ranking, and content policy enforcement. * Develop agent tool adapters and integration layers enabling AI agents to safely perform actions (e.g., Snowflake queries, workflow triggers, system updates) using secure, controlled APIs. * Implement policy, safety, and guardrail middleware that enforces PII protection, content moderation, compliance rules, and safe function execution for agentic systems. * Create event-driven and asynchronous services using AWS-native capabilities for agent orchestration, callbacks, monitoring, and workflow routing. * Build microservices and SDKs that enable scalable, low-latency interactions between AI models, vector databases, and enterprise systems. * Collaborate with AI Architects, Platform Engineers, MLOps, Data Engineers, and Data Scientists to ensure systems are reliable, secure, observable, and aligned with best practices. * Implement robust testing frameworks for AI-driven services including regression tests, guardrail tests, prompt and agent behavior evaluations, and functional correctness checks. * Participate in code reviews, architectural discussions, and continuous improvement initiatives to enhance the performance and reliability of AI-powered applications. ## Related Videos - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? 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