Director, AI Platforms – Engineering

🕒 Outubro 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.000 - $165.375 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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VSP Vision Care

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1955

🏥 Saúde

📣 Marketing

🍽️ Alimentos e Bebidas

Healthcare • Marketing • Food & Beverage

VSP Vision Care é uma empresa líder em cuidados visuais que se concentra em fornecer acesso a soluções de cuidados com os olhos e eyewear de qualidade. Com um portfólio abrangente de serviços, a VSP Vision Care apoia tanto indivíduos que buscam serviços de saúde ocular quanto fornecedores que gerenciam suas práticas. A empresa é comprometida com a responsabilidade social, enfatizando a equidade na saúde, a sustentabilidade e uma cultura de pertencimento. Através de iniciativas como Siga Seu Coração, a VSP Vision Care ajuda as pessoas a maximizar o valor de suas ofertas, começando pelos óculos. Reconhecida pela excelência em atendimento ao cliente e compromisso com diversidade e inclusão, a VSP Vision Care se esforça para capacitar o potencial humano através da visão. Também foi reconhecida como um dos melhores locais de trabalho na área de saúde e está comprometida em apoiar veteranos e a comunidade conectada ao Exército.

Descrição

• Define and lead the organization’s enterprise AI platform strategy, architecture, and engineering capabilities • Own the multi-year strategy and reference architecture for data, ML, agentic, and AI-enabled BI platforms • Define how ML and agentic platforms integrate with the enterprise data platform and support BI and agent use cases • Establish scalable architectures for generative AI, AI agents, traditional machine learning, computer vision, and emerging AI technologies • Set enterprise AI architecture standards, environment standards, tool/model selection guidelines, and reusable patterns • Establish decision frameworks for building, buying, configuring, or partnering for AI capabilities • Own and evolve enterprise AI platforms, services, frameworks, and APIs, including model access, orchestration, knowledge retrieval, observability, identity, and security • Establish engineering standards for AI agents, intelligent workflows, APIs, and embedded AI experiences • Drive automated testing, CI/CD, versioning, release management, and production support • Establish lifecycle management for predictive models, generative AI applications, and autonomous or semi-autonomous agents • Translate AI governance policies into practical technical controls • Ensure platform-hosted solutions are governed, permissions-aware, auditable, and compliant with healthcare data, consumer information, and intellectual property requirements • Implement platform-level safety controls proportionate to risk • Establish production standards and service-level expectations; own reliability, availability, and performance • Forecast and manage platform consumption and vendor commitments, including Snowflake/Cortex, cloud, and model usage • Establish roles, decision rights, performance expectations, development plans, and succession readiness • Develop annual and quarterly operating plans covering priorities, capacity, staffing, funding, vendors, technology consumption, and outcomes

🎯 Requisitos

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent relevant experience • Advanced degree preferred • Minimum of 2 additional years of experience related to the functional area • Minimum of 6 years of management experience, including hiring, training, assigning work, and managing performance of direct reports • Experience across software, data, or machine-learning engineering, cloud platforms, or related disciplines • Experience building and operating production platforms • Experience taking machine learning or generative AI capabilities into production at enterprise scale • Strong understanding of modern GenAI architectures, foundation models, RAG, AI agents, and vector technologies • Experience delivering and operating cloud data and AI platforms, such as Snowflake and AWS/Azure • Experience with LLM stacks, orchestration frameworks, MLOps/LLMOps, CI/CD, APIs, and observability • Experience defining enterprise architecture standards, reusable platform services, and federated enablement models • Strong grounding in responsible AI, security, privacy, and governance for regulated environments • Experience managing platform budgets, strategic vendor commitments, and consumption/FinOps • Strong executive communication and stakeholder-management skills • For remote or hybrid roles, high engagement in virtual environments, including maintaining camera presence during meetings • Must comply with information security and privacy policies • Subject to pre-employment substance abuse testing

🏖️ Benefícios

• Eligible bonuses and commissions may be included as part of the compensation package • VSP Vision benefits are available (specific benefits linked in posting) • Remote work arrangement

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