Senior AI Engineer — Enterprise AI & LLMs

SCAN Health Insurance; Long Beach (CA); In loco; USD 106.000 - 183.000; Tempo pieno

Vantaggi offerti da questo lavoro

Base salary in competitive range

Annual bonus program

Wellness program

PTO and holidays

401(k) retirement plan with employer 


Tuition reimbursement

Descrizione del lavoro

SCAN Health Insurance seeks an AI Engineer to design, build, and optimize enterprise AI solutions that enhance operations and member services. You will collaborate across business, data, security, and technology teams to translate needs into practical AI solutions with responsible AI practices.

The role covers AI solution design, LLM implementation, data pipelines, and DevOps support, with a focus on scalable, secure production systems.

Competenze

• Bachelor’s Degree in Computer science, Engineering, or a related field.
• Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG), vector embeddings, prompt engineering, and agent orchestration.
• Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations.

Mansioni

• Design, build, and maintain AI-powered applications, services, and workflows for enterprise needs.
• Translate business requirements into scalable technical designs and production-ready solutions.
• Apply software engineering best practices for reliability, maintainability, and secure deployment.
• Collaborate with data, security, compliance, and technology teams to deliver AI solutions.

Conoscenze

LLM architectures

RAG & embeddings

AI-enabled apps

Python & REST APIs

Azure AI Services

Cross-functional collaboration

Formazione

Bachelor’s Degree in CS/Engineering

Strumenti

Azure AI Foundry

SharePoint

Microsoft 365

Teams

Confluence

LangChain

FastAPI

Semantic Kernel

Descrizione del lavoro

SCAN Health Insurance seeks an AI Engineer to design, build, and optimize enterprise AI solutions that enhance operations and member services. You will collaborate across business, data, security, and technology teams to translate needs into practical AI solutions with responsible AI practices.

The role covers AI solution design, LLM implementation, data pipelines, and DevOps support, with a focus on scalable, secure production systems.