Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
AI/ML & Cloud: Deep expertise in the Python ecosystem and AI/ML frameworks, with proven experience deploying models to public cloud infrastructure.
Architecture: Demonstrated track record designing and operating multi-tenant AI services, LLM integrations, and microservices architectures in production.
DevOps & Infrastructure: Strong hands-on command of containerization (Docker), Infrastructure-as-Code (Terraform), and modern CI/CD practices.
AI Security & Governance: Substantive experience with AI/LLM security risks (prompt injection, data boundary enforcement, model supply chain risks, threat modeling).
Communication: Exceptional written and verbal English skills, with the ability to articulate complex technical ideas to diverse audiences and senior stakeholders.
Mentorship & Culture: Passion for coaching, developing engineers, and advocating for engineering best practices.

15+ years of experience in software engineering, data science, or a closely related technical field.

Prior experience applying AI/ML within business consulting, advisory, or professional services environments.
Hands-on experience with emerging AI integration protocols and gateway design patterns.
Active contributions to open-source AI/ML projects, publications, or technical communities.
Proficiency in additional programming languages (e.g., Go, TypeScript).
Advanced certifications in Cloud, AI/ML, or Security (AWS, GCP, Azure ML, CISSP, etc.).
Experience with compliance frameworks such as SOC2, ISO 27001, or TISAX.

Principal AI Engineer

Summary