AI Workflow Architect Onsite, San Diego (Part-Time)

About AEMI AEMI, an AEM company, is a leading manufacturer of high‑reliability electronic components specializing in circuit protection, power conditioning, and radio frequency (RF) components. With a solid global presence, AEMI serves mission‑critical industries such as aerospace and defense, and the industrial and automotive sectors. Our commitment to innovation and quality has positioned us as a preferred supplier for highly engineered solutions in harsh environments. Description About AEMI AEMI, an AEM company, is a leading manufacturer of high‑reliability electronic components specializing in circuit protection, power conditioning, and radio frequency (RF) components. With a solid global presence, AEMI serves mission‑critical industries such as aerospace and defense, and the industrial and automotive sectors. Our commitment to innovation and quality has positioned us as a preferred supplier for highly engineered solutions in harsh environments. Position Summary AEMI is seeking an experienced AI Workflow Specialist to join the operations team. This role is responsible for analyzing current‑state processes, identifying high‑value automation opportunities, and designing, implementing, and maintaining AI‑enabled workflows that improve efficiency, accuracy, and reporting across QA and adjacent business functions. The ideal candidate brings hands‑on experience with workflow automation platforms, prompt design, systems integration, and process documentation, along with a practical understanding of governance, testing, and change management for production use of AI tools. Essential Duties & 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. Key Deliverables Workflow Assessment and Roadmap – A documented evaluation of priority QA workflows, current‑state pain points, automation opportunities, and a phased implementation plan. Production‑Ready Automations – Deployed AI‑enabled workflows with defined business rules, human review points, monitoring, and support documentation. Performance Reporting and Governance Materials – KPI reporting, testing results, standard operating procedures, and guidance for responsible and sustainable AI use. Benefits Of Working With Our Team This role is a part‑time, non‑exempt temporary position lasting 4 months. Based in San Diego, CA, this is an onsite role. 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. Organizational Overview AEM, headquartered in San Diego, California, is a portfolio company of Industrial Growth Partners (IGP), a private equity firm focused exclusively on middle‑market industrial manufacturing and niche services businesses. Through its industry leading brands AEM, Renaissance Electronics, and Central Semiconductor, AEM serves niche applications across a diverse array of attractive markets including satellite, aerospace, defense, industrial, medical, EV/Battery, and telecom. Requirements Minimum Qualifications 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. Preferred Qualifications Experience in manufacturing, quality, operations, or other regulated environments; familiarity with workflow mapping tools, SQL, scripting, dashboards, or AI governance practices is preferred. AEM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, or status as a qualified individual with disability. #J-18808-Ljbffr