Senior Solutions Engineer (Post Sales)

Senior Solutions Engineer (Post Sales) Location 📍: San Francisco, United States (Hybrid - 3 Days In Office) About Us 🚀 At Relevance AI, we’re building the home of the AI workforce. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you want to define how the world works with AI, join us. The Role 🥳 We’re looking for an AI Solution Engineer to join our dynamic team with a primary focus on post‑sales implementation. We are open to varied experience levels across pre/post‑sales; this role blends hands‑on delivery with light pre‑sales support. As an AI Agent Solutions Engineer at Relevance AI, you’ll help Enterprise customers leverage AI agents to solve core business problems. Using our low‑code/no‑code platform (and code where it counts), you will co‑design, architect, and develop production‑grade AI agents at Enterprise scale. You will also be an evangelist and enabler of our technology - driving technical success, product adoption, and measurable outcomes. This is an exciting opportunity for someone passionate about agentic AI, creative problem‑solving, and working directly with customers to transform their businesses with intelligent automation. We practice always‑on hiring as we scale the Solutions Engineering team and regularly add exceptional talent to our growing group. Your impact💥 - Lead post‑sales implementations end‑to‑end (discovery → design → build → UAT → launch → hypercare), owning scope, acceptance criteria, timelines, risks, cutover, and stakeholder comms. - Build and integrate production AI agents with customer systems via REST/GraphQL, webhooks, and events; handle auth (OAuth2/JWT), data mapping, and robust error handling. - Configure agent workflows, prompts, tools, and retrieval/RAG; establish evaluation, guardrails, and reliability standards for quality and safety. - Develop lightweight Python automations and custom connectors/middleware to meet integration needs. - Set up observability (logging, metrics, tracing, alerting) and create clear runbooks, playbooks, and technical documentation. - Provide Tier 2/3 troubleshooting and root‑cause analysis; drive durable fixes and continuous improvement post‑go‑live. - Enable and train customers to be self‑sufficient on the Relevance AI platform through workshops, onboarding, and best practices. - Act as a strategic partner by channeling customer insights to Product; influence roadmap and reusable solution patterns. - Identify expansion opportunities with Customer Success based on delivered value and measurable outcomes. - Support pre‑sales (~20%) with targeted discovery, demos/POCs, solution diagrams, and implementation estimates/SOW inputs. What We’re Looking For 🧠 - 4+ years in Solutions/Professional/Implementation (Enterprise preferred). - Strong Python and API integration skills (REST/GraphQL, OAuth2, webhooks, OpenAPI; Postman/Insomnia). - Hands‑on with LLMs: prompt design, RAG, embeddings, vector DBs, orchestration (e.g., LangChain/LlamaIndex), and major model providers. - Able to translate business needs into pragmatic technical sol ... (truncated, view full listing at source)