E2E Alignment Healthcare USA, LLCHiring

Senior AI Automation Engineer

  • Remote, United States
  • Senior
  • Posted 4 days ago
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In one line

Senior engineer on a data and technology team, building production AI and automation systems for claims, risk adjustment and member work.

About the role

Work sits on the Data and Technology Solutions team and spans claims processing, prior authorization, revenue integrity and member engagement. The role carries independent ownership of complex initiatives from concept to production.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Docker, Kubernetes, CI/CD, ETL, LangChain, LangGraph, AutoGen
Posted
25 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Design and build cloud-native services, APIs and microservices that hold up in a regulated setting
  • Own integrations with flat files, legacy databases, EDI feeds, mainframes and multimodal data
  • Set CI/CD, Docker, Kubernetes and infrastructure-as-code standards for the team
  • Build and govern ETL and orchestration pipelines, plus RPA automation with fault-tolerant workflows
  • Serve models from AI Sciences in batch, real-time and streaming pipelines, tuning for latency and throughput
  • Integrate LLMs into workflows using prompt engineering, RAG and frameworks such as LangChain, LangGraph and AutoGen

What they look for

  • Experience as a senior individual contributor and technical lead on production AI systems
  • Distributed systems practice: fault tolerance, retries, idempotency, queuing, caching and scaling
  • Hybrid cloud and non-cloud integration work, including EDI and mainframe sources
  • Applied model serving and performance tuning rather than research or training

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Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: experience as a senior individual contributor and technical lead on production AI systems; distributed systems practice: fault tolerance, retries, idempotency, queuing, caching and scaling; hybrid cloud and non-cloud integration work, including EDI and mainframe sources. Skills it names include Docker, Kubernetes, CI/CD, ETL.

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