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Lead enterprise customers through AI deployment and operationalization by identifying use cases, shaping implementation strategies, and coordinating product, engineering, sales, and customer teams. Translate technical AI capabilities into measurable business outcomes while addressing governance, reliability, security, observability, and performance requirements. Support pre-sales engagements, expansion opportunities, deployment playbooks, and cross-functional execution across complex enterprise environments.

Build and own Agent Warden’s backend services, data pipelines, APIs, frontend dashboards, CLIs, and deployment infrastructure. Develop with Python, FastAPI, NestJS, React, and TypeScript; manage PostgreSQL, Redis, CI/CD, Kubernetes, Helm, AWS, packaging, and releases. Lead testing, performance improvements, production debugging, and collaboration with Applied Research to productionize AI security capabilities using AI-assisted development workflows.

Lead technical support for B2B customer deployments, diagnosing issues across ML models, applications, APIs, infrastructure, networking, and deployment environments. Investigate incidents, review logs and configurations, coordinate escalations with FDE, SRE, and Engineering teams, monitor deployment health, document root causes, communicate with customer stakeholders, and develop tools and dashboards to meet support SLOs.

Deploy and operationalize Dynamo's AI assurance platform for public sector customers. Responsibilities include writing code, building integrations, creating prototypes and demos, supporting cloud, hybrid, on-premises, and air-gapped deployments, troubleshooting complex implementations, and translating customer mission needs into solution architectures. The role requires close collaboration with customer engineering, security, product, and government stakeholders, with regular on-site engagement and up to 50% travel.

Design and validate threat models for agentic AI systems, create adversarial experiments and synthetic environments, develop static and dynamic risk analysis, fine-tune and evaluate models, and build production-ready guardrails, monitoring, dashboards, and evaluation infrastructure. Optimize security systems for latency, cost, reliability, and measurable real-world performance while translating research into product capabilities.