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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Data Engineer - **Company:** Dematic Corp. - **Location:** Grand Rapids, MI, United States - **Experience:** Expert - **Salary:** $121,200.0 - $151,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Automated Storage and Retrieval Systems, BigQuery, Cloud Database, Computer Programming, Data Architecture, Information Engineering, Data Infrastructure, Data Security, Distributed Systems, Data Flow Control, Graph Database, Python (Programming Language), Metadata, Search Technologies, Software Deployment, Software Engineering, Enterprise Data Management, Software Organization, Enterprise Software Applications, Data Layers, Containerization, Kubernetes, Data Management, Domain Driven Design, Docker, Microservices - **Published:** August 30, 2026 - **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/405167176 ## About the Role 8-12+ years of experience in enterprise software engineering, cloud data engineering, distributed systems, or data platform development. Hands-on experience designing and building production AI systems, AI agents, or agentic workflows integrated with enterprise applications, APIs, and platform services. Strong understanding of AI agent architectures, including tool calling, orchestration, context management, memory, evaluation, observability, and production deployment patterns. Experience building AI-ready data platforms with capabilities such as semantic understanding, metadata intelligence, context engineering, and trusted data access. Strong cloud data engineering experience, preferably in GCP, including BigQuery, Pub/Sub, Dataflow/Cloud Run, Composer/Airflow, and modern data platform services. Strong programming skills in Python and experience building scalable software services, APIs, and microservice architectures. Deep understanding of data engineering fundamentals, including data modeling, data contracts, metadata, lineage, governance, data quality, and batch/streaming architectures. Experience integrating AI capabilities with enterprise data platforms and distributed systems. Experience with modern data and cloud-native technologies such as Iceberg, Trino, Kubernetes, and Docker. Experience designing secure, governed, and observable production AI solutions, including evaluation, monitoring, and operational excellence. What Will Set You Apart: Experience building AI agents that execute real-world enterprise workflows, beyond conversational assistants or prototypes. Experience with AI frameworks and platforms such as Google ADK, Vertex AI, MCP, LangGraph, or similar technologies. Experience applying RAG, embeddings, vector search, semantic layers, or knowledge graphs to enterprise AI solutions. Experience with Data Mesh, domain-driven data architecture, or federated data platforms. Supply chain, logistics, warehouse automation, or industrial domain experience. Location & Authorization:This is a hybrid role requiring proximity to one of our U.S. offices (Atlanta GA, Grand Rapids MI, Milwaukee WI).Applicants must be authorized to work in the U.S. without the need for current or future sponsorship. ## Description We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and interact with enterprise data and platform capabilities. This role focuses on building the foundations that enable AI agents and intelligent applications to effectively leverage enterprise data, including context engineering, semantic understanding, metadata intelligence, AI-ready data abstractions, and agent-driven platform capabilities. This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern software development practices. The ideal candidate combines strong technical execution skills with architectural thinking and the ability to design and deliver scalable AI capabilities that integrate seamlessly with enterprise data platforms and business workflows., Apply strong data engineering and software engineering principles to build scalable, maintainable AI-enabled platform capabilities. Partner with data, AI/ML, architecture, and product teams to identify and deliver high-impact AI capabilities for the enterprise data platform. Mentor engineers and define best practices for AI-enabled data platform development. What We are Looking For ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leading efficiency, empathy, and the human experience with AI](https://www.wearedevelopers.com/videos/1699-leading-efficiency-empathy-and-the-human-experience-with-ai) - [Making Data Warehouses fast. 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