Principal Product AI Data Engineer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Platform
Ai Security
Apache Airflow
Artificial Intelligence
Artificial Intelligence Engineer
Big Data
Bigdata
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Science
Data Warehouse
Database
Databases
Databricks
DevOps
ETL
Generative AI
Information Technology (IT)
Machine Learning
Product Ai Data
Project Management
Software Development
SQL
Job Description
DR Decisions Resources LLC is seeking a Principal Product AI Data Engineer to lead AI-enabled data product delivery on the MedTech team.
Responsibilities
- Own the design, architecture, and delivery of complex Generative and Agentic AI systems across teams and platforms
- Lead high-impact AI initiatives with an emphasis on scalability, reliability, and alignment to business goals
- Set engineering standards and guide best practices for implementation
- Drive cross-functional collaboration and mentor engineers to support technical growth
- Design AI solutions spanning data pipelines, architectures, and agentic workflows
- Partner with product, design, and business leadership to connect AI capabilities to strategic priorities
- Collaborate with Data Scientists to productionize machine learning models
- Design and implement feature engineering pipelines
- Develop scalable ML data pipelines and model-serving architectures
- Support MLOps activities including model deployment, monitoring, retraining, and governance
- Integrate Generative AI, LLMs, and AI agents into enterprise applications
- Build and optimize vector databases, RAG architectures, and AI-driven workflows
- Present technical solutions and architecture recommendations to stakeholders
- Drive roadmap planning and technology adoption initiatives
Requirements
- Bachelor’s Degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence, or a related field
- 10+ years delivering production-grade software, including deployment of AI-powered product capabilities
- Strong experience with Python, PySpark, Snowflake, Databricks, Airflow, and Delta Lake, plus cloud platforms such as AWS or Azure
- Strong SQL and database expertise with platforms including PostgreSQL, Oracle, Snowflake, and Databricks
- Experience partnering with product, analytics, and business stakeholders to drive measurable outcomes
- Strong verbal and written communication skills
Technologies
- Python, PySpark, Snowflake, Databricks, Airflow, Delta Lake
- AWS, Azure
- SQL, PostgreSQL, Oracle
- Generative AI, LLMs, AI agents
- Vector databases, RAG architectures
- Machine learning models
- Feature engineering pipelines
- Model-serving architectures
- MLOps
- Enterprise applications
Product You Will Be Developing
- Support and develop AI-enabled solutions for a product suite that tracks medical devices and supplies across markets and regions
- Enable insights for Biotech and Pharmaceutical clients
Stakeholder Management
- Work closely with Product Managers, Architects, Business Analysts, and Executive Leadership
- Present technical solutions and architecture recommendations to stakeholders
- Drive roadmap planning and technology adoption initiatives tied to measurable outcomes
About the Team
- Collaborate with product managers, data analytics and operations teams, internal IT teams, and external vendors and partners
- Team size of 15+ engineers
- Reports to the Director of Software Engineering
Benefits
- Full-time
- 40 hrs/week
- Hybrid working model
Additional “Great If You Also Have”
- Understanding of healthcare data and regulations
- Experience with SpecKit or OpenSpec for spec-driven development
- Experience building and scaling big data platforms
Location and Work Hours
- Ann Arbor, MI (hybrid)
- Full-time, 40 hrs/week, hybrid working model
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