AI Ops & Automation Coordinator

QUALCOMM, Inc.; San Diego (CA); On-site; USD 110,000 - 166,000; Full time

Benefits offered by this job

Competitive benefits

Job summary

Qualcomm Technologies, Inc. is seeking an AI Engineering Operations Analyst to support planning, coordination, and execution of Data Center AI initiatives within Engineering Operations. The role emphasizes tracking milestones, preparing executive materials, and enabling smooth cross‑functional collaboration.

The ideal candidate will have strong analytical and communication skills, plus a hands‑on approach to developing repeatable operational processes using AI tools and agents.

Qualifications

• Bachelor's degree or higher in a related field is required or equivalent experience.
• Strong written, verbal, and visual communication skills with executive‑level slide deck experience.
• Experience coordinating programs and documenting statuses for leadership.

Responsibilities

• Develop and maintain program plans, schedules, and timelines for AI projects.
• Track milestones, dependencies, risks; drive follow‑through for leadership.
• Collect, review weekly status reports; prepare executive‑ready materials.
• Plan, execute, and logistically support AI demos and demos content.
• Maintain a centralized repository for demos and AI agent libraries.

Skills

Interest in AI

Organizational skills

Written & verbal communication

PowerPoint presentations

Executive‑ready slide decks

Education

Bachelor's degree in Business, Engineering, Science, or related field

Associate's degree + 2+ years experience

High School Diploma + 4+ years experience

Job description

Qualcomm Technologies, Inc. is seeking an AI Engineering Operations Analyst to support planning, coordination, and execution of Data Center AI initiatives within Engineering Operations. The role emphasizes tracking milestones, preparing executive materials, and enabling smooth cross‑functional collaboration.

The ideal candidate will have strong analytical and communication skills, plus a hands‑on approach to developing repeatable operational processes using AI tools and agents.