Sr. AI Systems & Solutions Architect

Klaviyo Klaviyo · Enterprise · Boston, MA +2 · Customer Success

This role focuses on building AI-powered prototypes and workflows, integrating AI systems with internal data sources and APIs, and developing agents and retrieval workflows. The goal is to accelerate internal operations and enable teams to use AI tools more effectively, with a path to production-grade systems in collaboration with engineering.

What you'd actually do

  1. Build AI-powered prototypes and workflows using Claude, LLMs, and modern AI development platforms to rapidly validate business solutions.
  2. Design and connect AI systems using APIs, MCPs, automation platforms, and internal data sources to create intelligent, end-to-end workflows.
  3. Develop effective prompts, skills, agents, and retrieval workflows that improve the quality, reliability, and usefulness of AI-generated outputs.
  4. Evaluate and iterate on AI solutions using user feedback, business outcomes, and emerging best practices to drive adoption and impact.
  5. Lead enablement sessions, workshops, and office hours to grow AI fluency and help teams build effective prompts, skills, agents, and workflows.

Skills

Required

  • strong technical foundation
  • building AI-powered prototypes using LLMs and modern AI tools
  • understanding of APIs and system integrations
  • strong communicator
  • translate technical concepts
  • create clear documentation
  • enable others to adopt AI effectively
  • partnering with engineering teams to scale successful solutions into production

Nice to have

  • 4+ years of experience in AI solutions, solutions architecture, internal tooling, automation, or similar technical roles
  • Hands-on experience building solutions with Claude or other leading LLM platforms, including prompt engineering, skills, agents, and AI workflows
  • Experience integrating AI with APIs, internal systems, or data sources to solve business problems and improve team workflows
  • Demonstrated ability to rapidly prototype, test, and iterate on AI-powered solutions based on user feedback and business needs
  • Familiarity with Global Services functions, such as onboarding, education, consulting, or customer success

What the JD emphasized

  • build AI-powered prototypes
  • build skills, prompts, and AI workflows
  • building AI-powered prototypes
  • building solutions with Claude or other leading LLM platforms, including prompt engineering, skills, agents, and AI workflows

Other signals

  • build AI-powered prototypes and workflows
  • design and connect AI systems using APIs, MCPs, automation platforms, and internal data sources
  • develop effective prompts, skills, agents, and retrieval workflows
  • partnering with engineering teams to scale successful solutions into production