Sr. Lead Solution Architect - AI Agents

1 hour, 9 minutes ago
Full-time
Lead
Artificial Intelligence and Machine Learning
Klaviyo

Klaviyo

Klaviyo offers intelligent email marketing, SMS, and automation services for ecommerce businesses, empowering brands to personalize customer interactions and drive growth.

IT Services
1K-5K
Founded 2012

Description

  • Own end-to-end delivery of multi-agent implementations for enterprise customers.
  • Partner with customers and internal teams to define success criteria, scope agent builds, and create delivery plans.
  • Lead technical discovery to map customer support taxonomies and align the system’s routing logic to real business needs.
  • Design, describe, configure, launch, and iterate on specialized agents.
  • Translate business rules into structured Procedures and Guidance for agents.
  • Set up, test, and validate Custom Tools that connect the AI platform to external systems such as Shopify, ERPs, CDPs, loyalty platforms, Zendesk, and Salesforce.
  • Use simulation, telemetry, and tracing to test agents for performance, safety, compliance, and scalability.
  • Serve as the primary technical point of contact for customers during high-stakes engagements.
  • Build reporting frameworks that track deflection, resolution quality, and operational impact.
  • Partner with Product and Engineering to identify platform gaps and improve delivery standards, templates, and processes.

Requirements

  • 8-10+ years of experience in technical, customer-facing roles such as solutions architecture, forward-deployed engineering, technical consulting, or similar.
  • Experience operating autonomously at a Sr. Manager or Director equivalent level.
  • Track record of delivering production-grade enterprise solutions with structured execution, testing, and iteration.
  • Experience working directly with senior technical stakeholders, VP-level Support/CX leaders, and IT Operations in complex enterprise environments.
  • Strong technical foundation in APIs and integrations, including REST, webhooks, and JSON.
  • Hands-on experience building custom tools that connect an LLM to bespoke backend systems.
  • Experience configuring and integrating enterprise platforms such as Zendesk, Salesforce, Shopify, and ERPs.
  • Understanding of agentic AI fundamentals, including the difference between deterministic chatbots and LLM-powered multi-agent systems.
  • Familiarity with Retrieval-Augmented Generation (RAG) concepts.
  • Ability to speak in support and CX metrics such as deflection, resolution rates, cost-to-serve, CSAT, NPS, and QA frameworks.
  • Ability to translate ambiguous customer needs into deterministic implementation plans and delivery timelines.
  • Clear communication skills for explaining AI reasoning, hallucinations, and tool-calling sequences to technical and non-technical audiences.
  • Proactive, detail-oriented working style with strong ownership and comfort in fast-moving environments.
  • Ability to balance speed with rigor using simulations and tracing to maintain safety, compliance, and reliability.
  • Hands-on experience with LLMs, OpenAI’s Agent SDK, LangChain, or similar orchestration frameworks (nice to have).
  • Strong product instincts and ability to define success metrics and contribute to roadmap discussions (nice to have).
  • Computer Science, Engineering, or Math degree, or equivalent hands-on technical experience (nice to have).
  • Ability to travel up to 10% as needed.

Benefits

  • Base salary range of $168,000 to $252,000 USD for US locations.
  • Eligibility for the company’s annual cash bonus plan.
  • Potential equity as part of total compensation.
  • Potential sign-on payments.
  • Comprehensive health, welfare, and wellbeing benefits, subject to eligibility.
  • Supportive, inclusive workplace that welcomes diverse backgrounds and perspectives.
  • Travel is coordinated in advance for applicable work-related trips.

Interested in this position?

Apply directly on the company website

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