Staff AI Engineer

🕒 Abril 21

🌵 Arizona, California, +4 estados a mais – Remoto

🌵 Arizona – Remote 🏄 California – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $147.900 - $254.798 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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SCAN

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1977

⚕️ Seguro de Saúde

👥 B2C

Healthcare Insurance • B2C

A SCAN é uma organização de saúde orientada por uma missão, focada em reinventar o envelhecimento ao fornecer cuidado e cobertura centrados no paciente e baseados em evidências para idosos. Ela opera um portfólio integrado que inclui planos de seguro de saúde com benefícios inovadores, atendimento primário domiciliar e virtual, programas de apoio para cuidadores e idosos confinados em casa, além de serviços especializados para populações vulneráveis. A SCAN também investe e faz parcerias com empresas que avançam nos modelos de cuidado e recursos para ajudar os idosos a se manterem saudáveis e independentes em casa.

Descrição

• Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake • Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution • Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry • Build and maintain scalable cloud environments for model training, evaluation, and inference • Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs • Implement high-availability, cost-optimized compute and storage strategies for AI workloads • Partner with IT Security to ensure alignment with HIPAA, Responsible AI, and internal compliance requirements • Design pipelines and event-driven architectures using Azure Functions, Logic Apps, and API Management • Automate ingestion and evaluation processes for Document Intelligence, AI Search, and other Azure AI Services • Integrate monitoring, audit, and feedback loops to ensure operational transparency and continuous improvement • Lead architecture reviews and guide solution teams to adhere to Responsible AI and data-management standards • Define metadata, lineage, and model registry conventions for consistent tracking and reuse • Collaborate with engineering, analytics, and business teams to align technical designs with strategic outcomes • Evaluate emerging Azure and open-source technologies to extend SCAN’s AI capabilities

🎯 Requisitos

• Deep Expertise in Azure Ecosystem • Proficiency in Azure AI Foundry, Azure AI Services (Language, Vision, Speech, Content Understanding), Azure AI Search, Azure ML, Databricks, and Fabric • Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs) • Proven ability to design scalable, secure, and modular cloud architectures for AI and data workloads • Strong understanding of network design, IAM, data governance, and enterprise integration patterns • Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks • Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs • Understanding of data modeling, knowledge graphs, and semantic search design • Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions • Demonstrated commitment to secure, auditable, and explainable AI design • Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) • Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance • Comfortable working in a fast-evolving environment balancing experimentation with operational rigor • Strong written and verbal communication skills for technical and executive audiences

🏖️ Benefícios

• Annual employee bonus program • Robust Wellness Program • Generous paid-time-off (PTO) • 11 paid holidays per year • 1 floating holiday • Birthday off • 2 volunteer days • Excellent 401(k) Retirement Saving Plan with employer match • Robust employee recognition program • Tuition reimbursement