Company QUALCOMM SEMICONDUCTORES Y SISTEMAS AVANZADOS DE BAJA CALIFORNIA Job Area Engineering Group, Engineering Group Software Engineering General Summary AI Solution Enablement Engineer focuses on driving AI adoption by enabling PDTE engineers to independently build, deploy, and scale AI applications within their day‑to‑day workflows. The role emphasizes adoption enablement. Key Responsibilities Enabling self‑service AI application development using approved platforms, agent frameworks, and tools Translating AI capabilities into reusable patterns, templates, and workflows Embedding AI into existing engineering workflows to lower adoption barriers Supporting onboarding, configuration, and validation so teams can confidently own their AI solutions Acting as the bridge between central AI platforms and real‑world engineering usage Supporting the internal Agent Builder Certificate Program, including designing course materials and delivering training to scale AI skills across PDTE Ideal Candidate Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience Proven experience working with engineering workflows, developer tools, or internal platforms in large or complex engineering organizations Hands‑on experience building, enabling, or operationalizing AI‑powered or agent‑based solutions, such as workflows, assistants, or automation systems Demonstrated ability to translate complex technical capabilities into clear, reusable patterns, templates, and guidance that others can adopt independently Strong communication and collaboration skills, with experience training, enabling, or influencing engineers across multiple teams and disciplines Preferred Qualifications Master’s or Doctoral degree in Computer Science, Engineering, or a related technical field, or equivalent advanced practical experience Experience with agent frameworks, AI orchestration, or workflow automation platforms in an enterprise setting Familiarity with enterprise AI platforms, internal developer tooling, and AI governance or enablement models Experience designing, delivering, or scaling technical training programs, workshops, or certification initiatives Background in platform enablement, developer productivity, or technology adoption roles, especially in cross‑team environments Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field and 2+ years of Software Engineering or related work experience Master's degree in Engineering, Information Systems, Computer Science, or a related field and 1+ year of Software Engineering or related work experience PhD in Engineering, Information Systems, Computer Science, or a related field 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc. Applicants and EEO Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Qualcomm also commences reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr