Principal AI Security Platform & Harness Engineer

• Design, build and operate AI-powered vulnerability scanning harnesses and supporting platform capabilities.
• Develop integrations with large language models and AI platforms.
• Create and maintain prompt frameworks, agent workflows and security-focused AI orchestration logic.
• Build scalable scanning infrastructure supporting large-scale repository and application analysis.
• Optimise harness performance, throughput, cost efficiency and model utilisation.
• Develop validation, verification and false-positive reduction mechanisms.
• Integrate AI scanning capabilities into software development and security workflows.
• Evaluate new AI models, scanning techniques and agentic security approaches.
• Develop supporting tooling for scan execution, scheduling, orchestration and reporting.
• Enhance contextual analysis by incorporating security controls, architecture data and remediation intelligence.
• Work closely with AppSec, Vulnerability Operations and software engineering teams to drive adoption.
• Contribute to secure platform design, isolation controls, monitoring and operational resilience.
• Support research and innovation in agentic AI, automated vulnerability discovery and AI-assisted security testing.

• Minimum of 8 years of related experience
• Bachelor’s degree preferred and/or equivalent experience

Talents Needed for Success:

• 6+ years of software engineering experience with strong emphasis on Python and distributed systems development
• Deep expertise building scalable software platforms, test harnesses, frameworks, or orchestration platforms
• Strong experience integrating Large Language Models through APIs and SDKs
• Experience building evaluation frameworks, benchmarking systems, automated testing platforms, or AI experimentation environments
• Experience designing and maintaining multi-model orchestration workflows across Claude, OpenAI, Bedrock, or equivalent platforms
• Strong experience developing microservices and APIs using Python and/or Java
• Experience building data processing pipelines, queue-based architectures, and event-driven systems
• Experience with Docker, Kubernetes, OpenShift, and cloud-native deployments
• Experience operating applications within AWS environments
• Experience building automated testing frameworks, regression suites, and validation pipelines
• Experience handling structured outputs, prompt engineering, model evaluation, and result normalization
• Experience designing scalable ingestion, correlation, and analysis pipelines
• Strong understanding of software engineering best practices, testing, observability, and operational excellence
• Experience with Git, Bitbucket, Jenkins, Jira, and modern CI/CD tooling, * Experience developing AI scanning harnesses, agent frameworks, or autonomous workflow systems
• Experience working with security scanning technologies and vulnerability discovery platforms
• Familiarity with application security concepts and vulnerability management processes
• Experience designing AI model evaluation and accuracy measurement frameworks