Director, AI Platforms – Engineering

🕒 6 days ago

🇺🇸 United States – Remote

💵 $105k - $165.4k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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VSP Vision Care

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1955

🏥 Healthcare

📣 Marketing

🍽️ Food & Beverage

Healthcare • Marketing • Food & Beverage

VSP Vision Care is a leading eye care company that focuses on providing access to quality eye care and eyewear solutions. With a comprehensive portfolio of services, VSP Vision Care supports both individuals seeking eye health services and providers managing their practices. The company is committed to social responsibility, emphasizing health equity, sustainability, and a culture of belonging. Through initiatives such as Follow Your Heart, VSP Vision Care helps people maximize the value of their offerings, starting with eyewear. Recognized for its customer service excellence and commitment to diversity and inclusion, VSP Vision Care strives to empower human potential through sight. It has also been acknowledged as a top workplace in healthcare and is committed to supporting veterans and the military-connected community.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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