Principal Product AI Data Engineer

DR Decisions Resources LLC; Ann Arbor (MI); Hybrid; USD 150,000 - 210,000; Full time

Job summary

DR Decisions Resources LLC is seeking a Principal Product AI Data Engineer to join the MedTech team in Ann Arbor, MI (hybrid). The role focuses on building AI-enabled data products and intelligent workflows for Life Sciences and Healthcare clients with practical, scalable insights.

You will lead the design and delivery of generative AI systems, productionize ML models, and collaborate with product, design, and business leaders to align AI capabilities with strategic priorities.

Qualifications

• Bachelor’s degree or equivalent in Computer Science, Software Engineering, AI, or related field.
• 10+ years of production-grade software experience, including deployment of AI-powered product capabilities.
• Strong experience with Python, PySpark, Snowflake, Databricks, Airflow, Delta Lake, and cloud platforms such as AWS or Azure.
• Strong SQL and database expertise across PostgreSQL, Oracle, Snowflake, and Databricks.

Responsibilities

• Lead the design, architecture, and delivery of complex Generative and Agentic AI systems across teams and platforms.
• Execute high-impact AI initiatives, ensuring solutions are scalable, reliable, and aligned with business goals.
• Establish engineering standards and guide implementation best practices.
• Drive cross-functional collaboration and mentor engineers to support technical growth.
• Design innovative AI solutions, including data pipelines, architectures, and agentic workflows.
• Partner with product, design, and business leaders to align AI capabilities with strategic priorities.
• Collaborate with Data Scientists to productionize machine learning models.
• Design and implement feature engineering pipelines, scalable ML data pipelines, and model-serving architectures.
• Support MLOps, 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, and support roadmap planning and technology adoption initiatives.

Skills

Mentor engineers

Cross-functional collaboration

Technical leadership

Education

Bachelor’s Degree or equivalent in Computer Science, Software Engineering, AI, or related field

Tools

Python

PySpark

Snowflake

Databricks

Airflow

Delta Lake

AWS

Azure

SQL

PostgreSQL

Oracle

Job description

DR Decisions Resources LLC is hiring a Principal Product AI Data Engineer for the MedTech team in Ann Arbor, MI (hybrid). In this full-time role (40 hrs/week), you will help build and productionize AI-enabled data products and intelligent workflows that support Life Sciences and Healthcare clients with practical, scalable insights.

What you’ll be building

You will support and develop AI-enabled solutions for a suite of products that track medical devices and supplies across markets and regions, delivering valuable insights to Biotech and Pharmaceutical clients.

Responsibilities

• Lead the design, architecture, and delivery of complex Generative and Agentic AI systems across teams and platforms
• Execute high-impact AI initiatives, ensuring solutions are scalable, reliable, and aligned with business goals
• Establish engineering standards and guide implementation best practices
• Drive cross-functional collaboration and mentor engineers to support technical growth
• Design innovative AI solutions, including data pipelines, architectures, and agentic workflows
• Partner with product, design, and business leaders to align AI capabilities with strategic priorities
• Collaborate with Data Scientists to productionize machine learning models
• Design and implement feature engineering pipelines, scalable ML data pipelines, and model-serving architectures
• Support MLOps, 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, and support roadmap planning and technology adoption initiatives

Requirements

• Bachelor’s Degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence, or related field
• 10+ years of experience building and delivering production-grade software, including deployment of AI-powered product capabilities
• Strong experience with Python, PySpark, Snowflake, Databricks, Airflow, Delta Lake, and cloud platforms such as AWS or Azure
• Strong SQL and database expertise across PostgreSQL, Oracle, Snowflake, and Databricks
• Experience partnering with product, analytics, and business stakeholders to drive measurable outcomes
• Strong verbal and written communication skills

IT would be great if you also had

• Understanding of healthcare data and regulations
• Experience with SpecKit or OpenSpec for spec-driven development
• Experience building and scaling big data platforms

Team and collaboration

This role works closely with product managers, data analytics and operations teams, other internal IT teams, and external vendors and partners. The team has over 15 engineers and reports to the Director of Software Engineering.

Work model

• Full-time
• 40 hrs/week
• Hybrid working model