Principal Technical Consultant – Forward Deployed Engineer, AI Security

Responsibilities

• Serve as the senior technical lead for deploying and operationalizing AI security solutions in customer or enterprise environments
• Develop technical proposals, statements of work, and solution architectures that scope AI security engagements and support business development efforts
• Translate business, operational, and AI security requirements into deployable architectures and implementation plans
• Partner with internal and external stakeholders to ensure solutions are aligned to AI governance, compliance requirements, and long-term platform strategy
• Act as a trusted advisor and executive-level point of contact during onboarding, implementation, rollout, and optimization phases

Solution Implementation and Integration

• Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, and AI-enabled security tooling
• Build and configure cloud-native data ingestion, normalization, and enrichment pipelines for AI telemetry, model activity logs, and prompt/response data
• Integrate APIs, webhooks, message queues, and automation workflows across AI operations, identity, cloud, and application ecosystems supporting AI systems
• Develop reusable deployment patterns, templates, and technical assets to accelerate future AI security implementations

AI Security Operations

• Operationalize security controls and guardrails for AI systems, including prompt injection defense, model access controls, data leakage prevention, and agentic workflow monitoring
• Secure non-human identities (NHI), including service accounts, API keys, tokens, and autonomous agent credentials, across AI and agentic workflows
• Work with AI, detection engineering, and data teams to implement red teaming, adversarial testing, model risk scoring, and anomaly detection for AI systems
• Help define data requirements, feedback loops, and operational guardrails needed to secure AI systems in production environments
• Ensure deployed solutions are practical, measurable, and aligned to AI governance and risk objectives

Automation and Reliability

• Implement secure and governed automation for AI security monitoring, investigation, and response use cases across heterogeneous environments
• Support resiliency, observability, performance, and scale requirements for deployed AI security solutions
• Troubleshoot integration issues, deployment blockers, and production challenges in partnership with AI, platform, cloud, and security teams
• Improve reliability and maintainability through documentation, testing, monitoring, and standardized engineering practices

Cross-Functional Leadership

• Lead cross-team collaboration across AI Engineering, Security Engineering, Data Science, Infrastructure, Sales, and product or customer teams
• Communicate technical concepts clearly to both technical and non-technical stakeholders, including executive audiences
• Mentor and develop engineers and consultants, contributing to best practices for AI security implementation, delivery, and technical solution design
• Provide field feedback to influence platform roadmap, product direction, and architectural standards
• Represent the practice in pre-sales activities, proposal development, and client presentations