Blue Cross Blue Shield of Michigan
Artificial Intelligence Engineer II
Detroit, MI, United States · Mid
Sponsorship not specifiedDetected 35 days ago
PythonDjangoFastAPIAWSData EngineeringLLMsRAGAgentic AIAI OrchestrationAgile
About the role
- Departmental Summary: The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments. Proven experience delivering projects using Agile methodologies is a mandatory requirement. Key Responsibilities Design, develop,
- and implement end-to-end agentic AI systems that integrate: - Large Language Models (LLMs) - Multi-agent orchestration frameworks - Enterprise-grade data pipelines - Business and operational applications - Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability. Departmental
Responsibilities
- Design, develop, and implement end-to-end agentic AI systems that integrate: - Large Language Models (LLMs) - Multi-agent orchestration frameworks - Enterprise-grade data pipelines - Business and operational applications - Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability.
Requirements
- The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments.
- Proven experience delivering projects using Agile methodologies is a mandatory requirement.
Skills
- Large Language Models (LLMs)
- Multi-agent orchestration frameworks
- Enterprise-grade data pipelines
- Business and operational applications
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