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Principal Product AI Data Engineer

DR Decisions Resources LLC Ann Arbor, MI

Ann Arbor, MI

Today

Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

The Principal Product AI Data Engineer role on DR Decisions Resources LLC’s MedTech team focuses on designing and delivering AI-enabled data products and intelligent workflows for Life Sciences and Healthcare. The position emphasizes scalable engineering practices, productionization of machine learning capabilities, and cross-functional execution across stakeholders and platforms.

Location and Work Model

Location: Ann Arbor, MI
Work arrangement: Hybrid

Hours: Full-time, 40 hrs/week

Role Focus

This position supports and develops AI-enabled solutions for a suite of products that track medical devices and supplies across various markets and regions. The work also provides 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 with a focus on scalability, reliability, and alignment 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
Develop scalable ML data pipelines and model-serving architectures
Support MLOps practices, 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
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

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
Support measurable outcomes

Team and Reporting

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

Required Qualifications

Education: Bachelor’s Degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence, or related field
Experience: 10+ years 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

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

Preferred Qualifications

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

Employment Type and Benefits

Employment: Full-time
Schedule: 40 hrs/week
Work model: Hybrid working model

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