Senior AI Data Engineer

Dematic; Grand Rapids (MI); Hybrid; USD 121,000 - 152,000; Full time

Benefits offered by this job

Career Development

Competitive Compensation and Benefits

Pay Transparency

Global Opportunities

Job summary

Dematic is seeking a Senior AI Data Engineer to transform our Enterprise Data Platform into an AI-native system where AI agents can discover, understand, and interact with enterprise data.

This hands-on role requires deep cloud data engineering, semantic modeling, metadata and context engineering, and the ability to deliver scalable, AI-enabled platform capabilities.

This hybrid position supports proximity to our U.S. offices and includes competitive compensation and benefits.

Qualifications

• 8-12+ years of experience in enterprise software engineering or data platforms.
• Hands-on experience designing production AI systems and AI agents.
• Strong understanding of AI agent architectures and deployment patterns.
• Experience building AI-ready data platforms with semantic understanding and metadata intelligence.
• Strong cloud data engineering experience on GCP and modern data services.
• Proficiency in Python and scalable microservices development.
• Deep knowledge of data modeling, governance, and data quality.

Responsibilities

• Shape the Enterprise Data Platform into an AI-native platform with intelligent discovery and usage of enterprise data.
• Design and implement AI-driven capabilities and agents to automate complex workflows.
• Build data intelligence foundations: trusted context, business understanding, and reliable access.
• Create architectures for AI systems to reason over data and safely interact with APIs and services.
• Develop scalable AI-enabled solutions that integrate with cloud data platforms and distributed systems.
• Establish engineering practices for secure, governed, observable production AI solutions.
• Apply data and software engineering principles to build maintainable AI-enabled platform capabilities.
• Collaborate with data, AI/ML, architecture, and product teams to deliver high-impact AI features.
• Mentor engineers and codify best practices for AI-enabled data platforms.

Skills

Cloud data engineering

Python programming

Data platform architectures

AI-enabled data platforms

Semantic modeling

Context engineering

Production AI deployments

APIs & microservices

Kubernetes & Docker

Tools

BigQuery

Pub/Sub

Dataflow/Cloud Run

Composer/Airflow

Iceberg

Trino

Kubernetes

Docker

Job 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.

• Career Development
• Competitive Compensation and Benefits
• Pay Transparency
• Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $121,200.00 - $151,500.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills.

Tasks and Qualifications

• Evolve the Enterprise Data Platform into an AI-native platform by enabling intelligent discovery, understanding, and utilization of enterprise data.
• Design and implement AI-driven capabilities and agents that enhance data platform capabilities, automate complex workflows, and improve how data is discovered, managed, governed, and consumed.
• Build the data intelligence foundation required for AI systems, including trusted context, business understanding, and reliable access to enterprise data.
• Design architectures that enable AI systems to reason over enterprise data and safely interact with platform capabilities, APIs, services, and enterprise applications.
• Develop scalable AI-enabled solutions that integrate with cloud data platforms, distributed systems, and modern software architectures.
• Establish engineering practices for reliable production AI capabilities, including security, governance, evaluation, monitoring, and operational excellence.
• 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

• 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.