Senior Security Engineer - AI Security & Platforms

Ridgeline; San Ramon (CA); On-site; USD 164,000 - 205,000; Full time

Benefits offered by this job

Stock plan

Unlimited vacation

Education reimbursement

Wellness reimbursements

Insurance coverage

Job summary

Ridgeline is seeking a Staff AI Security Engineer to lead secure AI platform initiatives in a fast-growing, cloud-native environment. You will architect secure-by-default AI platforms, enforce security standards, and partner with engineering to embed security into AI features.

You will own threat modeling, guardrails, and risk assessments across multiple teams while delivering scalable security tooling. As part of our AI Security & Platforms group, you will mentor engineers, influence

Qualifications

• 4+ years of experience in application security, cloud security, or security-focused software engineering.
• Depth in at least one area: secure code review, cloud/infrastructure security, or security-focused production software.
• Proficiency in a high-level language (Python preferred; Kotlin or TypeScript a plus).
• Hands-on AI/LLM tooling experience and the ability to validate outputs for correctness and risk.
• Experience securing or building AI/LLM-powered systems or quickly learning new domains.
• Strong written and verbal communication to explain security tradeoffs.

Responsibilities

• Design and build secure AI platforms and guardrails for end-to-end AI adoption.
• Assess security impact of AI features and lead security reviews.
• Define least-privilege patterns and trust boundaries for AI systems.
• Develop AI developer tooling guardrails (e.g., Claude Code, Cursor).
• Threat model AI features and define security requirements with engineering.
• Own triage for AI-related findings and ensure SLA compliance.
• Build AI-augmented security tooling and pipelines with production-quality code.
• Partner with engineering as the primary AI Security liaison.

Skills

Security engineering

Python

AI/LLM tooling

Cloud security

Communication

Tools

AWS

Terraform

Job description

About Ridgeline

Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry.

Location: San Ramon, CA; Reno, NV

About Ridgeline

Ridgeline is the industry cloud platform for investment management. It was founded by visionary tech entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday) to apply his successful formula of solving operational business challenges with bold innovation and human connectivity to the unique needs of the investment management industry.

Ridgeline started with a clean sheet of paper and a deep bench of experts bound by a set of core values and motivated to revolutionize an industry underserved by its current tech offerings. We are building a new, modern platform in the public cloud, purpose-built for the investment management industry and we are prioritizing security, agility, and usability to empower business like never before.

With a growing campus in Reno and offices in New York, Lake Tahoe, and the Bay Area, Ridgeline is proud to have built a fast-growing, people-first company that has been recognized by Fast Company as a \"Best Workplace for Innovators,\" by The Software Report as a \"Top 100 Software Company,\" and by Forbes as one of \"America's Best Startup Employers.\"

The Opportunity

Are you a security engineer who wants to define what secure AI looks like for an entire company rather than chase it after the fact? Do you want to build the platforms and guardrails that let a business adopt AI quickly and safely, while keeping pace with emerging AI threats and how to defend against them? Are you already fluent with AI and treat it as core to how you build? If so, we're standing up a new team and we invite you to help shape it.

Ridgeline is building a new AI Security & Platforms team focused on secure AI enablement for the business: building the platforms that support safe AI adoption, and keeping current with how AI is used, the security issues that emerge, and how to prevent them. As a Staff AI Security Engineer, you will own this space at a technical-leadership level. You will architect secure-by-default AI platforms, lead on AI/LLM threat security, partner with teams to embed security into how they build and use AI, and enforce the organization's standards for responsible, secure AI use.

Because the domain is still young, we are looking for someone who has already shown strong skills in application security, cloud security, or security-focused software development, and who pairs that with real depth in AI.

At Ridgeline, the workplace culture is just as important as the products we build. We value ownership, transparency, and a bias toward action - which means we're always looking for solutions rather than just identifying problems. We're a team that chooses growth over comfort, owns our setbacks as much as our wins, and thrives on the kind of collaboration that pushes everyone to do their best work. If that's the environment where you do your best work, we would be interested to meet you.

You must be work authorized in the United States without the need for employer sponsorship.

The Impact You Will Have

• Design and build the platforms, guardrails, and reusable frameworks that enable secure AI adoption in your area, owning automation projects end to end - from design through Infrastructure-as-Code deployment and operation
• Independently assess the security impact of AI-powered features and lead security reviews in the areas you support, identifying complex AI risks that generic tooling misses - prompt injection, input/output sanitization gaps, data leakage, and trust-boundary violations
• Design and implement least-privilege patterns and clear trust boundaries for agentic / tool-use systems and MCP integrations, rather than only applying existing ones
• Own and extend guardrails for internal AI developer tooling (e.g., Claude Code, Cursor), improving coverage as new risks and usage patterns emerge
• Threat model AI features and integrations in your area to define security requirements before they are built, partnering with engineering so the secure path is also the easy one
• Own triage and remediation tracking for AI-related findings in your area, driving SLA compliance, validating fixes, and using AI to accelerate root-cause analysis and variant detection across related findings
• Design and build AI-augmented security tooling and pipelines that multiply review capacity, writing production-quality code and reviewing peers' code and Infrastructure-as-Code for security correctness, while keeping false positives low enough that engineering trusts the results
• Act as the primary AI Security partner for multiple engineering teams, sought out for design input on new AI features rather than only post-hoc review
• Develop recognized expertise in one or more AI security areas (prompt-injection defense, agent/MCP security, internal AI tooling guardrails) and own coverage for that area
• Use AI fluently every day to accelerate and scale your work, validating its output for correctness and risk

What We Look For

• 4+ years of experience in application security, cloud security, or security-focused software engineering, including owning projects independently and partnering across teams
• Demonstrated depth in at least one of: secure code review and product security; cloud and infrastructure security (AWS, IAM, guardrails); or building production software with a strong security focus
• Proficiency in at least one high-level language (Python preferred; Kotlin or TypeScript a plus)
• Hands-on, daily use of AI/LLM tooling, and the judgment to validate its output for correctness and risk. This is essential to the role.
• Applied experience securing or building AI/LLM-powered systems, or a clear track record of getting deep in a new technical domain quickly
• A habit of driving findings to remediation rather than just reporting them, with honest risk calibration
• Strong written and verbal communication, with the ability to explain security tradeoffs clearly to engineers and product partners

Bonus

• Hands-on experience with prompt-injection prevention, LLM input/output sanitization, or agent / tool-use / MCP security
• Experience building security automation, internal tooling, or guardrail frameworks
• Familiarity with cloud-native security (AWS) and infrastructure-as-code (e.g., Terraform)
• Contributions to AI security research, open source security tooling, or emerging AI security standards

Compensation And Benefits

The typical starting salary range for this role is: $164,000 - $205,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.

As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product.

• Company Stock Plan subject to the applicable Stock Option Agreement
• unlimited vacation
• educational and wellness reimbursements
• $0 cost employee insurance plafis

Please check out our Careers page for a more comprehensive overview of our perks and benefits.

Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.

Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement (https://www.ridgelineapps.com/legal/candidate-privacy-policy).