Senior Data Engineer - Agentic AI Engineering
Company: Boomi
Location: Schiller Park
Posted on: April 5, 2026
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Job Description:
As a Data Engineer at Boomi, you will architect the "paved road"
for our AI initiatives. You will transition our "Customer Zero"
prototypes from experimental code into robust, secure, and
observable. You will be the bridge between cutting-edge AI research
and enterprise-grade reliability, enabling the entire engineering
organization to ship intelligent features faster and safer. We are
seeking a highly skilled Data Engineer to join our Agentic AI
Engineering Team. This role focuses on building and operating
scalable, high-quality data infrastructure that powers agentic AI
systems, including LLM-based agents, multi-agent workflows, and
tool-using AI systems. You will play a critical role in enabling
data-driven training, evaluation, memory, observability, and
continuous improvement of intelligent agents. What You Will Do •
Architect and build scalable, secure, and observable data
infrastructure to power LLM-based agents, multi-agent systems, and
tool-using AI workflows. • Design and operate robust batch and
real-time data pipelines supporting embeddings, RAG systems, and
agent memory frameworks. • Develop and manage vector database
solutions to enable low-latency retrieval and contextual
intelligence for AI applications. • Build data frameworks for
training, evaluation, benchmarking, and continuous improvement of
agentic AI systems. • Implement strong data governance, quality
controls, lineage tracking, and PII/security compliance across AI
data platforms. • Collaborate with AI/ML, platform, and DevOps
teams to productionize experimental AI prototypes into
enterprise-grade solutions. • Optimize data systems for
performance, scalability, reliability, and cost efficiency across
cloud environments (AWS, Azure, or GCP). The Experience You Bring •
5 years of experience building and operating large-scale data
platforms as a Data Engineer. • Strong programming expertise in
Python and SQL for developing scalable and efficient data
solutions. • Hands-on experience designing batch and real-time data
pipelines, including streaming systems like Kafka or Kinesis. •
Experience with modern data platforms and cloud environments (AWS,
Azure, or GCP), including tools like Snowflake. • Strong
understanding of LLM/AI data workflows, including embeddings, RAG
pipelines, evaluation datasets, and vector databases (Pinecone,
Milvus ). • Experience with DataOps/MLOps tools such as Airflow,
dbt, and MLflow for orchestration and lifecycle management. •
Strong knowledge of data quality, governance, and security,
including PII handling, access controls, lineage, and ensuring data
reliability. Bonus Points If You Have • Experience supporting
agentic AI systems, multi-agent architectures, or tool-using AI
agents. • Familiarity with agent memory models, conversation
histories, and reasoning trace storage. • Experience with synthetic
data generation and simulation frameworks. • Exposure to prompt
engineering workflows and prompt/version management. • Experience
optimizing data systems for low-latency AI workloads.
Keywords: Boomi, Tinley Park , Senior Data Engineer - Agentic AI Engineering, IT / Software / Systems , Schiller Park, Illinois
