Senior AI & Automation Engineer

Overview

In this role you design, build, and maintain internal AI-powered agents and automation workflows across Optimizely’s AI stack to support reporting, operations, and cross-functional teams. You collaborate with data engineering, reporting, and operations to ensure reliable data feeds and scalable solutions. You apply engineering practices and cost-aware design to balance performance and efficiency, and you experiment to optimize speed and scalability. You champion AI tool adoption and share practical thought leadership to drive business impact.

Responsibilities

• Design, build, and maintain internal AI agents, applications, MCP servers, and automation workflows
• Develop and test scripts, APIs, and integrations connecting tools
• Build and iterate on agents that support reporting, operations, and cross-functional workflows
• Design and refine systems to ensure reliable, consistent outputs
• Apply engineering practices, sound data structure design, and coding standards to deliver reliable, maintainable solutions
• Consider cost models (token usage, compute, API costs) when balancing performance and efficiency
• Conduct experiments and test different approaches to optimize performance, speed, and scalability
• Collaborate with other technical teams to ensure clean, reliable data feeds to agents and automations
• Troubleshoot and resolve issues relating to automations and AI processes
• Author technical documentation to communicate designs, behavior, and processes
• Partner with reporting analysts, business stakeholders, and adjacent technical teams to gather requirements
• Champion the use of AI tools across the business
• Evaluate and recommend AI tools, models, or frameworks appropriate to project needs

Key requirements

• 3–5 years of software development experience with AI/ML tools, APIs, or agent frameworks
• Proficiency in at least one modern programming language (Python, Node) and understanding of core data structures
• Experience integrating APIs, data pipelines, or building automation workflows
• Familiarity with building or configuring AI agents including MCP-based integrations
• Practical experience with prompt design/prompt engineering for agents or AI features
• Understanding of AI/LLM cost models and how they affect design
• Working knowledge maintaining and building with complex datasets
• Strong problem-solving, technical judgment, and collaborative working style
• Education as specified in required_education

• collaborative
• strong communication
• problem-solving
• AI/ML tools
• APIs
• data pipelines

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