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The customer-focused Senior 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 Responsibility:
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
Requirements:
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
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
Nice to have:
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