Senior Staff AI Security Lead

About IonQ

a;url=https%3A%2F%2Fionq.com%2F;esheet=;newsitemid=;lan=en-US;anchor=IonQ%2C+Inc;index=7;md5= IonQ Inc. is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing networking sensing and security. IonQ’s newest generation of quantum computers the IonQ Tempo is the latest in a line of cutting-edge systems that have been helping customers and partners including a;url=https%3A%2F%2Fionq.com%2Fnews%2Fionq-speeds-quantum-accelerated-drug-development-application-with;esheet=;newsitemid=;lan=en-US;anchor=Amazon+Web+Services%2C;index=8;md5= Amazon Web Services a;url=https%3A%2F%2Fionq.com%2Fnews%2Fionq-speeds-quantum-accelerated-drug-development-application-with;esheet=;newsitemid=;lan=en-US;anchor=and;index=9;md5= and a;url=https%3A%2F%2Fionq.com%2Fnews%2Fionq-speeds-quantum-accelerated-drug-development-application-with;esheet=;newsitemid=;lan=en-US;anchor=AstraZeneca;index=10;md5= AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery materials science financial modeling logistics cybersecurity and defense. In 2025 the company achieved 99.99% two-qubit gate fidelity a;url=https%3A%2F%2Fionq.com%2Fnews%2Fionq-achieves-landmark-result-setting-new-world-record-in-quantum-computing;esheet=;newsitemid=;lan=en-US;anchor=setting+a+world+record+in+quantum+computing+performance;index=11;md5= setting a world record in quantum computing performance.

Headquartered in College Park Maryland IonQ has operations in California Colorado Massachusetts Tennessee Washington Italy South Korea Sweden Switzerland Canada and the United Kingdom. Our quantum computing services are available through all major cloud providers while we also meet the needs of networking and sensing customers across land sea air and space. IonQ is making quantum platforms more accessible and impactful than ever before.

Location This role can work onsite or hybrid from one of our offices. We are open to a fully remote option for the right candidate.
Travel Up to 10% Job ID 1915

The Role

We are hiring a senior technical leader to build the AI foundation our security organization runs on and to make sure it actually gets used. This is a dual-mandate role. You will stand up the enterprise AI infrastructure that lets security teams safely build with large language models and agents and you will lead the adoption effort that turns that infrastructure into measurable gains across detection and response threat intelligence vulnerability management GRC and security engineering.

This is a hands-on senior individual contributor role. You will write code design systems and set technical direction. You will not manage a team but you will lead through influence partnering with engineering leaders coaching analysts and engineers and building the coalitions that make org-wide change stick. Expect roughly an even split between platform building and enablement work.

You will report to the security leadership team and work closely with Platform Engineering IT Legal Privacy and the broader AI/ML organization.

Responsibilities

Stand Up the Enterprise AI Infrastructure

Build the platform. Design and build the shared platform security teams use to develop AI applications model gateway and routing authentication and authorization secrets handling rate limiting cost attribution and audit logging. Enable agentic systems. Establish patterns and reusable components for agentic workflows tool and MCP server integration sandboxed execution human-in-the-loop approval gates and least-privilege scoping for agent credentials. Wire in the data. Connect security s knowledge runbooks detection logic past incidents asset inventory policy documents to AI systems through well-governed retrieval pipelines with correct access controls and data classification enforcement. Make it measurable. Build the evaluation harness regression suites and observability that tell us whether an AI system is working output quality latency cost hallucination rate and drift over time. Nothing ships to production without a baseline. Secure the stack itself. Implement guardrails against prompt injection data exfiltration through model outputs insecure tool use and supply-chain risk in models and AI dependencies. Red-team the platform and the applications built on it. Set the standards. Own the reference architecture golden paths and internal documentation so that a security engineer can go from idea to reviewed prototype in days rather than months.

Drive AI Adoption Across the Security Organization

Find the real use cases. Work directly with detection engineering IR threat intel vulnerability management GRC and security operations to identify where AI meaningfully reduces toil or improves quality and where it does not. Kill weak ideas early. Build the flagship applications. Deliver a small number of high-visibility wins yourself. Nothing drives adoption like a working tool that saves an analyst two hours a day. Teach the organization. Run enablement programs office hours workshops internal documentation prompt and agent design patterns brown-bags that raise the AI fluency of the entire security organization not just the engineers. Measure adoption honestly. Define and report the metrics that show whether adoption is real active users workflows automated analyst hours returned time-to-detect and time-to-respond improvements quality deltas against human baselines. Establish governance that enables. Partner with Legal Privacy and Compliance to establish the acceptable-use policy review process and risk framework for AI in security workflows designed to unblock teams rather than stall them. Stay ahead of the field. Maintain the organization s point of view on where AI capability is heading and what it means for our security roadmap staffing and threat model. Evaluate vendors and open models on the merits.

Requirements

8+ years in security engineering platform engineering or a closely related technical field including significant hands-on software development. Demonstrated experience building and operating production systems with large language models not prototypes or demos. You have shipped something real dealt with its failure modes and iterated on it. software engineering fundamentals and fluency in Python (or an equivalent language) including API design distributed systems and cloud infrastructure (AWS GCP or Azure). Deep understanding of security engineering identity and access management secrets management network boundaries logging and detection and secure software development practices. Working knowledge of AI-specific risk prompt injection jailbreaks data leakage through model outputs insecure agent tool use model and dependency supply chain and practical mitigations for each. A track record of driving technical change across an organization through influence rather than authority building consensus teaching and shipping things people voluntarily adopt. Clear written and verbal communication. You can explain a system design to an engineer and the business case for it to an executive in the same week. Sound judgment about where AI is genuinely useful and where it is not. We want an advocate who is also a skeptic.

Preferred Qualifications

Experience with agent frameworks orchestration and the Model Context Protocol (MCP) or comparable tool-use standards. Experience building evaluation frameworks or LLM observability tooling. Background in security operations detection engineering or incident response you have felt the toil firsthand. Experience with retrieval systems embeddings vector databases and knowledge pipeline design. Familiarity with AI governance and assurance frameworks such as the NIST AI Risk Management Framework ISO/IEC 42001 or the OWASP Top 10 for LLM Applications. Experience fine-tuning or evaluating open-weight models for domain-specific tasks. Prior experience as a first or founding hire on a platform or capability that later scaled organization-wide.

What Success Looks Like

First 90 Days

You have mapped the current state what security teams are already doing with AI sanctioned or not and published a prioritized assessment of gaps risks and opportunities. A minimum viable AI platform is running gateway authentication logging and cost attribution with at least one security team building on it. An acceptable-use policy and lightweight review process for AI in security workflows is drafted and socialized.

First 6 Months

Two or more production AI applications are in daily use by security teams with measured impact. The evaluation and observability layer is in place no AI system reaches production without a quality baseline and monitoring. Enablement is operating on a regular cadence and engineers outside your immediate orbit are shipping their own AI-assisted workflows on the golden paths you built.

First Year

AI is a normal part of how the security organization works with adoption and impact reported through metrics leadership trusts. The platform supports agentic workflows safely with guardrails that have been tested adversarially. The role has clearly outgrown one person and you have made the case for what the team around it should look like.

Why This Role

Security organizations are drowning in work that AI is genuinely good at and most of them are still stuck at the pilot stage because nobody owns both halves of the problem the infrastructure and the adoption. This role owns both. You will have executive sponsorship real budget and the latitude to set technical direction from a blank page. If you want to define how an entire security organization works with AI rather than tune someone else s system this is that job.

The total compensation package includes base bonus equity and a range of benefit options found on our career site.

If this role has a commission structure the compensation range below just reflects the base compensation range.

Wage Transparency $180,000 $225,000 USD

Compensation will vary based on individual factors such as education qualifications and experience of the final candidate(s) specific office location and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical dental and vision plans matching 401(k) unlimited PTO and paid holidays parental/adoption leave legal insurance and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.

At IonQ we believe in fair treatment access opportunity and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy productivity and respect. We are dedicated to creating an environment where individuals can feel welcomed respected supported and valued.

We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race religion ancestry physical and/or mental disability medical condition genetic information marital status sex gender gender identity gender expression transgender status age sexual orientation military or veteran status or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.

US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g. U.S. citizen U.S. national U.S. permanent resident or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work obtaining any necessary license and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization and similarly you may not qualify for government contracts work that requires U.S. Persons and IonQ may decline to proceed with your application on those bases alone. Accordingly we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes and the answers will be reviewed by compliance personnel to ensure compliance with federal law.

US Non-Technical Jobs. Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes and the answers will be reviewed by compliance personnel to ensure compliance with federal law.

If you are interested in being a part of our team and mission we encourage you to apply!