Senior AI Automation Engineer
$124,000–$171,000 year
On-siteSan Francisco, California, United States or Denver, Colorado, United States
Job Summary
Design and deliver AI-powered applications, agents, copilots, and workflow automations that improve digital product delivery, customer self-service, and internal productivity. Integrate AI services with customer portals, custom applications, and enterprise systems using Python, Node.js, and AWS. Lead solutions from business discovery and rapid prototyping through production deployment, adoption, and continuous improvement. Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, and agent workflows while establishing governance practices. Measure solution value through automation rate, adoption, and return on investment. Partner with Digital Experience, Service Operations, and Vendor Management to translate business needs into scalable technical designs.
Required Qualifications
- 6+ years of professional experience in software engineering, AI engineering, automation engineering, digital technology, data and analytics, or a related technical field
- Demonstrated experience designing, building, and deploying AI-powered applications, agents, copilots, or workflow automation solutions
- Experience applying generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows to business problems
- Programming experience with Python and Node.js for APIs, automations, AI applications, Model Context Protocol servers, agent-to-agent services, and integrations
- Experience integrating enterprise systems through APIs, JSON, webhooks, authentication, event-driven workflows, and secure data exchange
- Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms
- Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns
- Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications, retrieval-augmented generation solutions, or agent workflows
- Ability to independently lead technical delivery and communicate AI solutions in clear business terms to technology and operational stakeholders
Desired Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Artificial Intelligence, a related technical field, or equivalent experience
- Experience supporting customer-facing digital platforms, authenticated portals, customer self-service, or service operations workflows
- Experience with enterprise platforms such as CRM, Drupal CMS, digital asset management, service management, marketing technology, knowledge management, contract management, or procurement systems
- Experience designing reusable AI reference architectures, accelerators, prompt libraries, multi-agent workflows, tool-using agents, context engineering, agent memory, and human-in-the-loop processes
- Experience working with distributed engineering teams, vendors, contractors, or implementation partners, including defining metrics for adoption, productivity, customer experience, operational savings, and return on investment
- Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed
- Exercises sound judgment, creative thinking, and accountability for outcomes
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