Added
18 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws python mlops rag bedrock
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๐Ÿ“‹ Description

  • Define and own the AI/ML solution roadmap for end-to-end healthcare claims automation, aligning
  • Lead customer-facing discussions, technical workshops, and discovery sessions to identify business
  • Design and implement scalable AI/ML architectures covering claims intake, data extraction
  • Lead the end-to-end delivery of enterprise AI/ML solutions, taking responsibility for technical
  • Architect and implement agentic AI systems using AWS Bedrock AgentCore Runtime, Strands SDK or
  • Design and orchestrate agentic AI patterns, including ReAct, tool use, and multi-agent

๐ŸŽฏ Requirements

  • More than 10 years of experience in technology delivery, including at least five years leading
  • Extensive experience designing, developing, and deploying production-grade AI/ML solutions, with a
  • Strong expertise in agentic AI architectures, including ReAct patterns, tool calling, multi-agent
  • Hands-on experience with AWS AI services, particularly Amazon Bedrock AgentCore Runtime, and
  • Demonstrated ability to design and implement RAG architectures using Amazon Bedrock Knowledge
  • Strong understanding of AI/ML engineering principles, including model development, training

๐ŸŽ Benefits

  • Fully remote work: Flexibility to work remotely from Anywhere.
  • Contract-based opportunity: An opportunity to contribute to a major enterprise AI/ML transformation
  • Enterprise-scale impact: The chance to develop AI solutions designed to automate healthcare claims
  • Advanced AI technologies: Hands-on exposure to agentic AI, AWS Bedrock AgentCore, Strands SDK or
  • Technical leadership: Opportunity to shape AI/ML architecture, establish implementation standards
  • Cross-functional collaboration: Work alongside AI/ML engineers, data scientists, cloud architects
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