Cisco AI Software Engineering Tech Lead Validation / Artifacts 

United States, California, San Jose 

308804928

Your Impact

• Lead the design, development, and evolution of our AI validation platform, enabling secure and reliable deployment of AI systems.
• Drive the creation and curation of AI artifacts including the AI validation prompt bank, AI security policies, AI taxonomies and more, supporting both AI validation workflows and broader AI product development.
• Collaborate across engineering, security research, and product teams to establish robust frameworks for evaluating AI systems’ trustworthiness and resilience.
• Provide technical leadership and mentorship within the team, establishing leading practices for development, testing, and artifact management.

Minimum qualifications

• Bachelor’s degree in Computer Science or related field and 6+ years of software engineering experience, or Master’s degree with 4+ years of experience.
• Experience designing and building scalable cloud-based systems (AWS, Azure, or GCP), including container orchestration (e.g., Kubernetes, Docker).
• Proven experience in technical leadership, architecture design, and end-to-end feature ownership in AI/ML or platform domains.
• Experience with API design and frameworks (e.g. OpenAPI, GraphQL, gRPC, REST, etc.)

Preferred qualifications

• Exceptional problem-solving skills, with the ability to analyze complex requirements and propose effective solutions.
• Experience developing, deploying, and maintaining applications in AWS environment with cloud native solutions.
• Experience designing or managing structured content like taxonomy systems, policy engines, or evaluation datasets.
• Background in AI security, privacy, or model robustness (e.g., red teaming, DLP for LLMs, misuse detection).