Deployment Architect

About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Deployment Architect Location: New York City, Madison Square Park area Reports to: Head of Engineering, Enterprise AI Experience Level: 10+ years Work Model: Hybrid, with regular in-office presence Why Join Enterprise AI? Enterprise AI is building the platform that enables secure and reliable deployment of AI systems inside regulated enterprises. As a Deployment Architect, you will own the deployment architecture for client cloud, dedicated, and sovereign environments. You will help define the security controls, compliance evidence, and deployment patterns required to move enterprise AI systems through vendor reviews and into production. You will work directly with client security, infrastructure, and compliance teams, including bank and government information security organizations. This is a high-ownership role for someone who combines deep infrastructure security expertise with strong client-facing judgment. As a Deployment Architect, You Will Design Enterprise Deployment Architectures Create secure reference architectures for client cloud environments, dedicated instances, sovereign deployments, and other customer-controlled environments across AWS, Azure, and GCP. Lead Security and Compliance Readiness Define security controls, compliance evidence, and deployment standards required for regulated enterprise customers. Partner with Client Security Teams Lead vendor-review conversations with bank, government, and other regulated enterprise information security teams. Translate their requirements into clear technical and operational actions. Build Secure Platform Guardrails Help implement policy-as-code guardrails, identity controls, key custody models, admission controls, image signing, and other security mechanisms within the platform and its CI systems. Own Threat Modeling Evaluate risks associated with agents, connectors, prompt injection, data exfiltration, privileged access, and software supply chains. Establish Operational Readiness Help build the incident response, vulnerability management, and security operations processes required to support enterprise deployments. The Anti-Sell Hands-on infrastructure security: This is not an application security or GRC-only role. You must have personally designed and operated infrastructure and cloud security systems. Regulated enterprise complexity: You will work with demanding security, compliance, and vendor-risk teams in regulated environments. Client-facing accountability: You will be expected to lead security conversations directly with customers and translate technical requirements into practical deployment decisions. Technical depth: The role requires strong experience across cloud security, Kubernetes security, identity, compliance evidence, infrastructure as code, and enterprise deployment architecture. Our Enterprise AI Deployment Architects Typically Have Deep security and cloud architecture experience: Ten or more years in security engineering or cloud architecture, including expe