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# Solution Architect

- **Company:** Optimizely
- **Location:** London, United Kingdom
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Distributed Systems, Python (Programming Language), Key Management, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Llamaindex, Generative AI, Event Driven Architecture, Integration Frameworks, Data Management, Machine Learning Operations, Api Design, Optimizely, Api Management
- **Published:** October 20, 2026
- **Apply:** https://careers.optimizely.com/talentcommunity/apply/1373448755/?locale=en_US

## About the Role

* Generative AI and agentic engineering. Experience with LLM integration: prompt engineering, RAG pipelines, vector stores, and an orchestration framework such as LangChain or LlamaIndex.
 * Cloud and MLOps. Working knowledge of a major cloud platform (AWS, Azure, or GCP), including containers, CI/CD, and model monitoring.
 * Production-grade programming. Proficiency in Python or a comparable language, sufficient to build and ship production systems.
 * Systems and integration design. Experience with distributed systems, API design, event-driven architecture, and third-party integrations.
 * Responsible AI and security. Understanding of bias mitigation, model risk, privacy, compliance, and core security practices: authentication, authorization, encryption, and secrets management.
 * Optimizely product knowledge. An advantage, not a requirement. It accelerates onboarding and collaboration with Delivery and Product.

We value demonstrated skills and outcomes over years of experience. Relevant backgrounds include solutions architecture, technical consulting, platform engineering, and product engineering.

## Description

* Architect AI-driven solutions. Design agents, integrations, and automation that change how engagements are delivered. Solutions should be reusable across accounts, not one-off scripts.
 * Lead delivery through GA. Own a solution end to end, architecture through build, until general availability and Professional Services delivery can run it independently. After GA, Delivery leads and you provide support.
 * Document solutions and processes. Document each solution so others can run, extend, or troubleshoot it without you. Documentation is part of the deliverable, not an afterthought.
 * Drive adoption and gather feedback. Support the internal and Professional Services communities who use what you build, and gather their feedback to confirm solutions meet real needs. Adoption determines impact.
 * Collaborate with architects and Delivery. Support fellow architects, and stay informed on Delivery and Product activity so solutions reflect field reality., * Systems perspective. You can reason about an entire architecture, data, integrations, content, commerce, identity, and the seams between them. You've worked across more than one category: CMS, commerce, ERP, CRM, data platforms, integration, and identity. You see Professional Services delivery as a system that can be redesigned with AI.
 * Root-cause analysis. You identify the actual source of recurring delivery friction, not just its symptoms, and can demonstrate your reasoning.
 * Applied AI engineering. You have built and shipped production AI systems: agents, LLM-based workflows, and API integrations. You can design an approach and implement it yourself.
 * Problem definition under ambiguity. You can scope and design a solution from incomplete or conflicting requirements, make sound tradeoffs, and defend your approach under pressure.
 * Regional awareness. You understand the differences between EMEA and North America delivery, and design solutions for consistent execution across both., * You deliver against the roadmap. UMP, MCP, and future initiatives progress from concept to general availability and adoption.
 * You turn challenges into solutions. You convert ambiguous problems into working solutions without waiting for a complete specification.
 * Your work improves how we deliver. Solutions you build measurably improve delivery: fewer manual steps, faster engagements, and faster time-to-value for customers.