Deployment Architect

About the Position

We are looking for a Deployment Architect to join our Enterprise AI team in New York City, specifically in the Madison Square Park area. This role is hybrid, requiring regular in-office presence.

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.

Why Join Enterprise AI?

Enterprise AI is building the platform that enables secure and reliable deployment of AI systems inside regulated enterprises.

Responsibilities

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.

Requirements

• Deep security and cloud architecture experience: Ten or more years in security engineering or cloud architecture, including experience at a regulated company or a vendor that sells into regulated enterprises.
• Vendor security review experience: A track record of personally leading a vendor security review through approval at a global bank, government body, or similarly regulated institution.
• Compliance program leadership: Experience leading a SOC 2 or ISO 27001 program and producing the technical evidence required for external review.
• Multi-cloud infrastructure expertise: Strong knowledge of AWS, Azure, and GCP security architecture, including landing zones, private networking, KMS, and air-gapped deployment patterns.
• Kubernetes and identity security expertise: Experience with pod security, admission control, image signing, federation with client identity providers, privileged access, and key custody.
• Client-ready threat modeling: The ability to assess risks across agents, connectors, prompt injection, data exfiltration, and software supply chains, and communicate practical mitigations to technical and executive stakeholders.

Nice to Have

• Experience delivering sovereign cloud or data residency solutions.
• Experience with Saudi, European Union, or other complex regulatory environments.
• Experience supporting security reviews for financial institutions or government customers.
• Experience building security controls into infrastructure and CI systems.

We Offer

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

About the Company

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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This role is based in New York City, in the Madison Square Park area. Do you currently live within a reasonable commuting distance of New York City?

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Candidate Tip: We will prioritize candidates who currently live within a reasonable commuting distance of New York City and our future office near Madison Square Park. Please ensure your resume reflects your current location, as we will use the location listed to assess proximity to the role.

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