Software Engineer - AI Solution Enablement Engineer

Company:

Job Area:

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:

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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