Jobs in La Jolla

About The Position

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Business Analytics, or a related field, or equivalent practical experience.
• 2+ years of experience in workflow automation, business process improvement, intelligent automation, or a related role.
• Hands-on experience with generative AI tools and workflow automation platforms such as Microsoft Power Automate, Zapier, Make, n8n, or similar.
• Working knowledge of APIs, data mapping, structured outputs, and system integration concepts.
• Strong analytical, problem-solving, and process-mapping skills with the ability to translate business needs into technical workflow designs.
• Excellent communication, documentation, and stakeholder collaboration skills.
• Ability to manage multiple priorities, work independently, and support adoption of new processes and tools.

Nice To Haves

• Experience in manufacturing, quality, operations, or other regulated environments; familiarity with workflow mapping tools, SQL, scripting, dashboards, or AI governance practices is preferred.

Responsibilities

• Analyze current workflows across work functions to identify bottlenecks, repetitive tasks, and opportunities for AI-enabled automation.
• Design, build, test, and deploy workflow automations using approved automation and AI platforms.
• Develop prompt frameworks, structured outputs, and validation steps to improve reliability, consistency, and usefulness of AI-generated results.
• Integrate AI services with internal tools, databases, and reporting systems while supporting data quality, security, and access controls.
• Establish workflow testing, monitoring, and exception-handling practices to ensure stable operation in production environments.
• Partner with cross-functional stakeholders to prioritize use cases, gather requirements, and manage rollout of automation improvements.
• Measure workflow performance using defined KPIs and prepare reports on cycle time reduction, accuracy improvements, adoption, and business impact.
• Document workflow architecture, operating procedures, prompt standards, and user guidance to support training, auditability, and continuous improvement.

Benefits

• Opportunity to build and scale AI-enabled workflows that support operational excellence and measurable business impact.
• Exposure to cross-functional initiatives involving quality, operations, reporting, and digital process improvement.
• A hands-on role shaping practical, responsible adoption of AI tools in a manufacturing environment.