AI/ML Data Engineer — Azure, Databricks & CI/CD

Persistent; United States; Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Higher education support

Cutting-edge tech

Engagement initiatives

Annual health check-ups

Insurance coverage

Job summary

Persistent is seeking an experienced AI/ML Developer to join the UHC initiative on the Surest ASO New Business Project. The role is key to delivering complex enterprise solutions within a tight 24-week window, requiring collaboration with diverse stakeholders and strong AI focus.

The ideal candidate has hands-on AI/ML, programming, and cross-functional experience, with a track record of delivering high-impact enterprise projects. Hybrid work and ongoing learning are emphasized.

Qualifications

• 4+ years of scripting experience.
• 3+ years with AI tools like GitHub Copilot, MS 365 Copilot, and other GenAI agents.
• Cross-functional expertise in AI/ML, Azure IaaS, Databricks, PySpark, and CI/CD & DevOps.
• Proven experience designing, implementing, and governing complex enterprise solutions.

Responsibilities

• Collaborate with UHC, Optum, and Palantir stakeholders to clarify requirements and validate data.
• Ensure data quality and regulatory alignment throughout the project lifecycle.
• Serve as liaison between U.S.-based stakeholders, Palantir teams, and offshore developers.
• Drive critical decisions, remove delivery roadblocks, and maintain momentum.
• Use AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
• Maintain a minimum of 90% weekly usage of enterprise-approved AI tools.
• Stay current with evolving AI capabilities and apply them to improve delivery quality and velocity.

Skills

Scripting

AI tools

Azure IaaS

Databricks

PySpark

CI/CD DevOps

Enterprise design

Tools

Kafka

Job description

Persistent is seeking an experienced AI/ML Developer to join the UHC initiative on the Surest ASO New Business Project. The role is key to delivering complex enterprise solutions within a tight 24-week window, requiring collaboration with diverse stakeholders and strong AI focus.

The ideal candidate has hands-on AI/ML, programming, and cross-functional experience, with a track record of delivering high-impact enterprise projects. Hybrid work and ongoing learning are emphasized.