Principal Engineer, AI Enablement

Who we are

SeekWell is the parent company of 1-800 Contacts, Luna, and The Framery. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, pioneering products and businesses that make consumers cheer and optometrists squirm. We’re owned by KKR – one of the world’s largest and most successful private equity investment companies. We’ve built an excellent company and changed an industry by putting the customer first, always. The best is yet to come!

Why you want this job

AI is changing how software gets built—and we’re leaning in. This role is a chance to shape how SeekWell engineers use AI day to day, and how we evolve as an organization, so teams can move faster, ship with confidence, and keep quality high as we scale.

You’ll own the enablement strategy, the standards, and the guardrails that turn experimentation into real leverage across the SDLC. You’ll also help define how AI is adopted and scaled across engineering—balancing speed, quality, and long-term sustainability. If you enjoy translating emerging tech into practical patterns, influencing senior engineers and leaders, and measuring outcomes—not hype—you’ll have a huge platform to make a lasting impact here.

What you’ll do

• Define AI Strategy: Define and drive the enterprise AI roadmap across engineering—identifying high-impact opportunities, prioritizing investments, and guiding where and how AI should (and shouldn’t) be used.
• Scale GenAI Literacy: Design and scale enablement frameworks—playbooks, patterns, and hands-on learning paths—that drive meaningful, sustained adoption of AI-assisted development.
• Drive AI Integration Standards: Lead the strategy for implementing protocols (such as Model Context Protocol) and patterns (agents, internal tooling) that standardize how AI systems interact with internal data and engineering tools.
• Build AI Guardrails & Governance: Establish the technical standards, governance models, and risk frameworks needed to ensure AI is secure, compliant, and maintainable—while still enabling teams to move quickly.
• Modernize the SDLC: Systematically identify and integrate AI-driven optimizations across the software development lifecycle—from ideation and coding to testing, deployment, and monitoring.
• Drive Organizational Change: Partner with engineering leadership to evolve how teams work—shifting toward AI-native development practices and overcoming cultural or technical barriers to adoption.

What you'll need

• 10–15+ years of engineering experience, with a demonstrated ability to drive technical direction and influence outcomes across multiple teams or organizations
• Strategic technical leadership: Proven track record driving large-scale technical and cultural change without direct hierarchical authority
• Hands-on GenAI expertise: Deep experience with LLMs, RAG, MCP, and the evolving ecosystem of AI developer tools (e.g., Cursor, GitHub Copilot, agents)