Sr AI Data Engineer

Sr Data Engineer  will design and implement advanced data solutions for AI, supporting classic, generative, and agentic modalities across structured and unstructured data types. Your expertise will drive business insights, enhance decision-making, and empower AI initiatives. You will report to the AI Director and work on a hybrid schedule from Phoenix, AZ or Charlotte, NC.

• Support end‑to‑end data needs for all AI modalities, including classic ML, GenAI/LLMs, and agentic AI systems.
• Build robust, scalable data pipelines for structured, semi‑structured, and unstructured data (text, documents, images, audio, video, logs).
• Develop feature engineering pipelines for classic ML, including feature extraction, transformation, and feature store management.
• Build and optimize GenAI and LLM data pipelines: embedding generation, vectorization, chunking, metadata extraction, document enrichment for RAG and context retrieval.
• Develop data ingestion and orchestration workflows for agentic AI, including memory stores, event‑driven pipelines, tool‑use data flows, and real‑time retrieval services.
• Design advanced data solutions using AWS (S3, Glue, Lambda, EMR, Kinesis), Databricks (Spark, Delta Lake, Vector Search), and Dataiku to enable intelligent systems at scale.
• Implement data governance, quality, lineage, monitoring, and observability for high‑performance, trustworthy AI.
• Partner with data scientists, ML engineers, and AI product teams to deliver datasets for model development, fine‑tuning, evaluation, and production inference.
• Optimize pipelines for latency, cost, reliability, and throughput, ensuring AI systems—from batch ML to real‑time agents—receive the necessary data.

• Bachelor’s degree in a technical discipline (science, technology, engineering, mathematics).
• 5+ years of experience in data engineering, distributed data systems, or ML data pipelines.
• Strong experience with Apache Spark, preferably on Databricks.
• Proficiency in Python and SQL; experience with distributed computing and big‑data frameworks.
• Hands‑on experience with cloud‑based ETL/ELT pipelines, preferably AWS (S3, Glue, Lambda, EMR, Step Functions, Redshift, Athena).
• Experience building data solutions that support multiple AI workloads, including:
  • ML training and inference data flows
  • Unstructured data ingestion and transformation
  • Embedding/vector pipelines for LLMs
• Experience with data modeling, integration, ETL/ELT frameworks, and production‑grade pipelines.

• Technical bachelor's degree (CS, Engineering, Math, or related).
• Experience supporting AI at scale across classic ML, GenAI/LLM, and agentic AI systems.
• Experience with vector databases and semantic search (Databricks Vector Search, Pinecone, FAISS, Milvus, Open Search).
• Familiarity with LLM and GenAI data preparation, including:
  • Text processing
  • Tokenization
  • Chunking strategies
  • Prompt/context formatting
• Experience with unstructured data technologies (OCR, NLP pipelines, computer vision data processing).
• Hands‑on experience with Dataiku for automation, workflow orchestration, and AI project management.
• Knowledge of MLOps tooling: MLflow, Delta Lake, experiment tracking, CI/CD for ML.
• Understanding of agentic AI system patterns: memory architectures, tool APIs, event‑driven workflows, reasoning‑chain data requirements.
• Strong analytical mindset, attention to detail, commitment to high data quality.
• Ability to thrive in a fast‑paced, evolving AI environment and collaborate across cross‑functional teams.

In addition to a competitive salary, Honeywell employees receive a comprehensive benefits package including medical, dental, vision, life insurance; short‑term and long‑term disability; 401(k) match; flexible spending accounts; health savings accounts; employee assistance program; educational assistance; parental leave; paid time off; and 12 paid holidays.

Due to compliance with U.S. export control laws, candidates must be a U.S. person (citizen, permanent resident, or protected status).

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies addressing critical challenges across…