QUALCOMM SEMICONDUCTORES Y SISTEMAS AVANZADOS DE BAJA CALIFORNIA
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 include:
- 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 Will Have
- 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 related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
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