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
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 WillDesign Enterprise Deployment ArchitecturesCreate 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 ReadinessDefine security controls, compliance evidence, and deployment standards required for regulated enterprise customers.
Partner with Client Security TeamsLead 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 GuardrailsHelp 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 ModelingEvaluate risks associated with agents, connectors, prompt injection, data exfiltration, privileged access, and software supply chains.
Establish Operational ReadinessHelp build the incident response, vulnerability management, and security operations processes required to support enterprise deployments.
The Anti-SellHands-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 HaveDeep 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.
Candidates whose experience is limited to application security or GRC without hands-on infrastructure experience, or who have never worked directly with clients, will not be a fit for this role.
Top-Tier Candidates Will 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 are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
- 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.
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.
Skills Required
- 10 or more years of experience in security engineering or cloud architecture
- Hands-on experience designing and operating infrastructure and cloud security systems
- Experience working at a regulated company or with vendors serving regulated enterprises
- Track record leading vendor security reviews through approval at a global bank, government body, or similarly regulated institution
- Experience leading SOC 2 or ISO 27001 compliance programs and producing technical evidence
- Strong AWS, Azure, and GCP security architecture experience
- Experience with landing zones, private networking, KMS, and air-gapped deployment patterns
- Kubernetes and identity security expertise, including pod security, admission control, image signing, identity federation, privileged access, and key custody
- Ability to threat-model agents, connectors, prompt injection, data exfiltration, and software supply chains
- Ability to communicate security risks and mitigations to technical and executive stakeholders
- Direct client-facing experience with enterprise security teams
- 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
Turing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.
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Fair & Transparent Compensation — Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
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Wellbeing & Lifestyle Benefits — Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
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Healthcare Strength — Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.
Turing Insights
What We Do
We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.
