Principal AI Security Platform & Harness Engineer

The Impact you will have in this role:

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Being a member of IT Cybersecurity & Platform Strategy team, you will build and operate the next generation of AI-powered vulnerability discovery capabilities used to identify security weaknesses across thousands of applications and repositories. This role sits at the intersection of Application Security, AI Engineering and Platform Engineering. You will design, develop and scale AI scanning harnesses, agent frameworks and model integrations that enable large-scale security analysis using AI models. Your work will directly influence how DTCC leverages AI to discover exploitable vulnerabilities, validate findings, reduce false positives and accelerate security outcomes across the enterprise.
Your Primary Responsibilities: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.
**NOTE: The Primary Responsibilities of this role are not limited to the details above. **
Qualifications:Minimum of 8 years of related experienceBachelor'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 developmentDeep expertise building scalable software platforms, test harnesses, frameworks, or orchestration platformsStrong experience integrating Large Language Models through APIs and SDKsExperience building evaluation frameworks, benchmarking systems, automated testing platforms, or AI experimentation environmentsExperience designing and maintaining multi-model orchestration workflows across Claude, OpenAI, Bedrock, or equivalent platformsStrong experience developing microservices and APIs using Python and/or JavaExperience building data processing pipelines, queue-based architectures, and event-driven systemsExperience xzbcwsv with Docker, Kubernetes, OpenShift, and cloud-native deploymentsExperience operating applications within AWS environmentsExperience building automated testing frameworks, regression suites, and validation pipelinesExperience handling structured outputs, prompt engineering, model evaluation, and result normalizationExperience designing scalable ingestion, correlation, and analysis pipelinesStrong understanding of software engineering best practices, testing, observability, and operational excellenceExperience with Git, Bitbucket, Jenkins, Jira, and modern CI/CD tooling
Preferred QualificationsExperience developing AI scanning harnesses, agent frameworks, or autonomous workflow systemsExperience working with security scanning technologies and vulnerability discovery platformsFamiliarity with application security concepts and vulnerability management processesExperience designing AI model evaluation and accuracy measurement frameworks