QUALIFICATIONS/EDUCATION

• Master’s degree or Ph.D. in Systems Engineering, Computer Science, AI/ML, Software Architecture, or a closely related field.

PROFESSIONAL EXPERIENCE

• Holds a mid-to senior-level management role — with proven ability to provide strategic insights on AI integration, systems design, and program development.
• Minimum 10 years of hands-on experience in:
• Systems engineering
• AI/ML integration in enterprise or engineering settings
• Software architecture with modern technologies
• Built & shipped AI at scale – at least one LLM/RAG or CV model in production, with CI/CD, monitoring, and rollback.
• Governance savvy – comfortable embedding secrets management, RBAC, drift detection, and SOC-2 considerations in labs.
• Is recognized as a thought leader — has shared expertise through public talks, open-source contributions, or published articles to build program credibility and visibility.
• Experience designing or leading AI-enabled system design projects is a strong advantage.

ADDITIONAL REQUIREMENTS

• Prior experience developing academic curricula or corporate training content is preferred.
• Strong understanding of both foundational systems design and applied AI/ML technologies.
• Excellent writing, communication, and collaboration skills.

PREFERRED SKILLS

• Familiarity with standards like INCOSE, ISO/IEC 15288 (for systems engineering), or TOGAF (for architecture).
• Experience with modeling tools like SysML, UML, or similar.
• Knowledge of AI/ML platforms such as TensorFlow, PyTorch, Azure ML, or AWS Sagemaker.
• Understanding of cloud-native architectures, data engineering pipelines, and software lifecycle integration.

As the Subject Matter Expert, you will: