Forward Deployed Engineer

The customer-focused Forward Deployed Engineer will be the technical bridge between Optimizely's innovative AI products and our enterprise customers. They will leverage deep technical expertise and communication skills to design, build, and deploy AI-driven solutions that seamlessly integrate with Optimizely's platforms, enabling customers to harness the power of AI. Job Responsibilities • Customer Consultation & Solution Design: Collaborate with customers to understand AI use cases, data needs, and integrations, assisting in translating objectives into technical plans leveraging Optimizely AI (Opal). • Lead Technical Deployments: Participate in the configuration and deployment of Optimizely AI (Opal), interacting with Optimizely products and customer tech stacks via public APIs. • Develop Custom Tools & Integrations: Support in the design and build of custom applications or connectors for AI workflows, especially Retrieval Augmented Generation (RAG), using Optimizely APIs and pre-trained AI models. • Technical Troubleshooting & Optimization: Perform troubleshooting, debugging, and performance optimization for deployed AI solutions to ensure stability and efficiency. • Technical Training & Enablement: Support workshops and knowledge transfer for customer teams to effectively use, manage, and extend Optimizely AI (Opal). • Cross-Functional Collaboration: Collaborate effectively with Optimizely's Product, Engineering, and Customer Success teams to provide feedback and ensure alignment. • Best Practices & Advocacy: Apply AI deployment best practices, understanding customer needs and aligning with Optimizely's product capabilities. Qualifications • 3+ years in a customer-facing technical role (e.g., Solutions Architect, Implementation Engineer, FDE) with a focus on software deployment and integration. • Retrieval Augmented Generation (RAG): Familiarity with RAG concepts and experience with building tools/applications for RAG workflows (e.g., interacting with vector databases, embedding services, prompt engineering). • Prompting Proficiency: Good understanding of prompting principles and best practices for optimizing AI model output. • Programming Proficiency: Programming skills in JavaScript, TypeScript, Python for building integration layers, applications, and automation scripts via APIs. • API & System Interaction: Proficiency in interacting with external systems via public APIs, including CRUD operations. • Business Analysis: Experience in analyzing business requirements and translating them into technical solutions. • Problem-Solving: Strong analytical and problem-solving skills for diagnosing and resolving complex technical issues. • Communication: Strong verbal and written communication skills to articulate complex technical concepts to diverse audiences. • Customer Focus: Customer-centric mindset, with ability to build rapport and contribute to customer success. • Adaptability: Ability to quickly adapt to new technologies, product updates, and customer environments Preferred Skills: • Data Integration: Proficiency in data integration, transformation (ETL), and data governance techniques for AI solution consumption. • Optimizely Product Knowledge: Experience with Optimizely products (CMS, CMP, Web Experimentation, Feature Experimentation, ODP). • AI Deployment Expertise: Familiarity with AI solution deployment and integration in enterprise environments, including understanding data flow and system integration. • Consulting Experience: Exposure to customer-facing engineering, solutions consulting, or technical pre-sales roles. Education • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.