AI Platform Enablement Engineer III

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $94.100 - $164.800 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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CareSource

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 30+ years

🏥 Saúde

🛡️ Seguros

⚕️ Seguro de Saúde

Healthcare • Insurance • Healthcare Insurance

CareSource é uma empresa de serviços de saúde focada em fornecer soluções acessíveis de seguro saúde e assistência médica. Oferece uma ampla gama de planos, incluindo Medicaid, Marketplace e Medicare Advantage, direcionados a adultos de baixa renda, famílias, crianças, gestantes, idosos e pessoas com deficiência. Além disso, a CareSource oferece aos membros recursos para suporte ao COVID-19, benefícios odontológicos, de visão e audição, bem como serviços de farmácia. A empresa enfatiza o fácil acesso ao gerenciamento de saúde por meio de plataformas online e um aplicativo móvel.

Descrição

• Own evaluation, prioritization, and controlled rollout of new capabilities across enterprise AI platforms • Define rollout strategies, pilot cohorts, and broad enablement approaches • Establish and manage role-based access, usage tiers, entitlement models, and platform configurations • Develop, maintain, and enforce approved usage patterns, platform guardrails, and usage boundaries • Coordinate rollout execution across access provisioning, communications, and enablement activities • Define and track platform adoption metrics and resolve adoption blockers, configuration gaps, and usability friction • Identify high-value and low-value usage patterns and drive targeted adoption strategies • Partner with engineering and business stakeholders to capture measurable outcomes such as efficiency gains and delivery acceleration • Own visibility into platform consumption, spend, and usage trends; analyze cost drivers and optimize platform usage • Partner with Finance and IT leadership on budgeting and forecasting • Operationalize enterprise AI governance at the platform usage level and ensure compliance with PHI and PII data protection requirements • Establish auditability and monitoring practices and coordinate with Security, Risk, Legal, and AI Governance stakeholders • Maintain feature enablement settings, reporting configurations, and operational playbooks • Act as primary point of engagement for platform evolution and vendor interaction • Maintain awareness of platform capabilities and roadmap changes • Partner with architecture and engineering stakeholders to align platform usage with enterprise patterns and standards • Perform other job-related duties as requested

🎯 Requisitos

• Bachelor's degree in Computer Science, Software Engineering, or related technical field required • Equivalent years of relevant work experience may be accepted in lieu of required education • Five (5) years of IT engineering experience, with at least three (3) years specialized in DevOps, MLOps, or Cloud Infrastructure required • Experience with Azure AI Services (Azure OpenAI, AI Search, Azure ML) and container orchestration (Kubernetes/AKS) required • Experience building and maintaining CI/CD pipelines for machine learning models or complex software applications required • Familiarity with enterprise AI or advanced technology platforms • Strong understanding of AI/LLM capabilities and platform-based delivery models • Ability to manage adoption, enablement, or rollout of enterprise technology platforms • Familiarity with consumption-based cost models and optimization strategies • Ability to operate independently and lead initiatives in complex and ambiguous environments • Knowledge of AI platforms such as Anthropic (Claude), Microsoft Copilot Studio, or Microsoft 365 Copilot • Familiarity with AI governance, responsible AI practices, and regulatory considerations • Ability to work within enterprise architecture or platform enablement functions • Exposure to usage analytics, reporting, and cost optimization frameworks • Microsoft Certified: Azure AI Engineer Associate or Azure DevOps Engineer Expert preferred • CKA (Certified Kubernetes Administrator) preferred

🏖️ Benefícios

• Bonus tied to company and individual performance may be available • Comprehensive total rewards package • Employee total well-being support