Senior AI Automation Engineer - Remote, Enterprise-Scale

Alignment Health

Northern (KY)

Hybrid

USD 172,000 - 259,000

Full time

4 days ago
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Job summary

Alignment Health is seeking a Senior AI Automation Engineer to architect, build, and scale enterprise AI systems across claims processing, risk adjustment, and member engagement. You will lead end-to-end delivery, partnering with AI Scientists, Data Engineers, and Product Managers to deploy production-grade AI solutions.

You will own the Databricks build-out, CI/CD, and automation pipelines, driving reliability and governance in a regulated healthcare environment.

Qualifications

  • 5–8 years of professional software engineering experience focusing on distributed systems, cloud infrastructure, or data platforms.
  • Proven track record delivering complex, production-grade distributed systems from concept through deployment and operations.
  • Experience building and scaling automation using RPA platforms and workflow orchestration tools.

Responsibilities

  • Lead the design and build of distributed, cloud-native AI systems and enterprise automation solutions.
  • Own CI/CD, containerization, and deployment standards with Docker, Kubernetes, and IaC practices.
  • Guide integration of AI/ML models and LLMs into production workflows and performance tuning.

Skills

Distributed systems
Cloud infrastructure
Data platforms
AI/ML in production
RPA platforms

Education

Bachelor's degree in Computer Science/Engineering
Master's degree preferred

Tools

Docker
Kubernetes
Databricks
MLflow
Delta Lake
Unity Catalog
LangChain
LangGraph
AutoGen

Job description

Alignment Health is seeking a Senior AI Automation Engineer to architect, build, and scale enterprise AI systems across claims processing, risk adjustment, and member engagement. You will lead end-to-end delivery, partnering with AI Scientists, Data Engineers, and Product Managers to deploy production-grade AI solutions.

You will own the Databricks build-out, CI/CD, and automation pipelines, driving reliability and governance in a regulated healthcare environment.

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