AI Engineer, Ecosystem

What you’ll do You’ll be a technical owner for the company's external AI ecosystem: the integrations, surfaces, and standards that allow customers to interact with the company through third‑party assistants and platforms. Over the next year, you’ll turn early integrations into first‑class, exemplar applications — stable, secure, and opinionated — that are showcased by platform partners and relied on by power users at the company's most sophisticated customers. You’ll design how the company data and actions are safely exposed, how permissions and auditability work across boundaries, and how new capabilities (including richer UI surfaces) are introduced over time. This is a product role disguised as infrastructure. Success is measured by real usage, trust, and customer reliance — not by the number of integrations shipped. Where you’ll work This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We require three coordinated days in the office per week — Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Own the company's MCP Apps for OpenAI, Claude, Slack, and other embedders, including roadmap decisions across core and long‑tail partners. Define the technical, UX, and reliability standards for how the company surfaces and operates within external AI assistant ecosystems. Design and maintain secure, auditable integration patterns, including permissions, read/write access, and acting on behalf of users across third‑party environments. Build and operate production‑grade integrations that remain resilient amid evolving platforms, unpredictable clients, and shifting constraints. Partner cross‑functionally with Security, Platform, Sales, Enablement, and internal agent teams to ensure integrations are safe, valuable, and well‑supported. Serve as the center of excellence for reusable AI capabilities across the company, defining and evangelizing standards, patterns, and shared components that power AI functionality both within the company platform and across external ecosystem integrations. Requirements Experience building and owning production software, including systems that integrate with or depend on third‑party platforms. Demonstrated technical ownership for user‑facing products with real external customers. Deep experience with identity, authentication, and secure data access across system boundaries, including OAuth and role‑based access control (RBAC) for permissions. Proven ability to ship and operate reliable integrations with external APIs and clients outside your control. Strong product judgment, written communication, and end‑to‑end ownership, including accountability for quality and launch readiness. Bonus points Experience publishing and maintaining apps or integrations in third‑party marketplaces (iOS, Slack, Shopify, GitHub, Chrome, etc.). Prior work on administrative or platform‑side tooling for ecosystems. Familiarity with conversational or agentic interfaces in production environments. Experience building evaluations to measure and improve the quality, reliability, and safety of AI‑powered features. Compensation The expected salary range for this role is $171,000 - $240,000 USD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package. The company LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job‑seekers may be at risk of targeting by malicious actors looking for personal data. The company recruiters will only reach out via LinkedIn or email with a the company.com domain. Any outreach claiming to be from the company via other sources should be ignored. #J-18808-Ljbffr United States Digital Space LLC