Sr AI/ML Data Engineer Remote or Office-Based in MN/DC
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Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application.
As a Senior AI/ML Software Engineer, you will build AI-powered data products and modern digital experiences across analytics and healthcare platforms. You’ll work on Compass reporting and the Quality & Patient Safety platform, delivering intelligent frontends, backend services, and cloud-native data solutions. You enable self-service analytics, operational insights, and quality improvement through scalable, AI-enabled applications. This is a hands-on, full-stack role with a clear focus on impactful healthcare solutions and responsible AI. You will collaborate across cross-functional teams and contribute to architecture and technology decisions.
Compensation / Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
- remote work flexibility
Responsibilities
- Design, develop, and deploy AI/ML and Generative AI solutions using LLMs, RAG, agents, and modern AI frameworks
- Build scalable full-stack applications using React, TypeScript, Java/Spring Boot, Python, REST APIs, and SQL
- Develop intuitive dashboards, reporting solutions, and AI-enabled workflows
- Enhance self-service analytics, reporting, and data exploration capabilities
- Develop applications supporting quality, patient safety, benchmarking, insights, action management, and workflow automation
- Integrate applications with enterprise data platforms and cloud-native data ecosystems
- Design and implement microservices, APIs, data models, and event-driven architectures
- Apply engineering best practices including CI/CD, automated testing, observability, security, and performance optimization
- Collaborate with product, analytics, business, and platform teams to deliver high-quality solutions
- Provide technical leadership, mentor engineers, and contribute to architecture and technology decisions
Key requirements
- Bachelor's degree or equivalent practical experience
- 5+ years in production-grade data platforms and pipelines using Python or Java, SQL, Spark/PySpark, and Databricks or similar
- 3+ years designing batch, streaming, xhuatnn and event-driven data solutions on AWS, Azure, or GCP
- 2+ years delivering production Generative AI solutions (RAG, retrieval, evaluation, monitoring, deployment enablement)
- 2+ years modern data engineering practices (data quality, observability, metadata, lineage, governance)
- Proven ability to lead technical initiatives, mentor engineers, influence cross-functional teams, and translate ambiguous requirements into scalable solutions
- leadership and mentoring
- cross-functional collaboration
- communication of technical concepts to non-technical stakeholders
- React
- TypeScript
- Java/Spring Boot
Remote working/work at home options are available for this role.
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