CrawlJobs Logo
Stytch Logo Stytch · IT - Software Development

Staff Enterprise Security Engineer, AI Security

Ireland Employment contract · Job Posted May 10, 2026
Apply Position
Job Link Share

Job Description

As a Staff Enterprise Security Engineer, you will be a technical leader within the EntSec team, responsible for the foundational security posture of our organization. You will serve as an SME on the technical strategy and engineering execution for securing the AI ecosystem in our Enterprise, moving beyond policy into building the foundational "decision infrastructure" and technical guardrails that allow the enterprise to innovate with AI at scale. You will also guide strategic direction and collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in security assessments, threat modeling, identity and access control principles, and data protection, you will architect and build preventative guardrails and mitigate new risks introduced by first and third-party AI agents in our Enterprise.

Job Responsibility

  • Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats
  • Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization
  • Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use
  • Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and automated infrastructure management via IAC
  • Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape

Requirements

  • 7+ years of experience in security engineering or infrastructure security
  • 2+ years of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment
  • Expertise in cloud security (AWS, GCP) and container security (Kubernetes)
  • Proven track record of designing and deploying complex security systems at scale
  • Strong proficiency in programming languages such as Python, Go, or Java

Nice to have

  • Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools
  • Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders

What we offer

  • Competitive pay
  • Generous time off
  • Ample parental and wellness leave
  • Healthcare
  • Retirement savings program
Stytch - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Staff Enterprise Security Engineer, AI Security

8 matching positions

Staff/Sr. Staff Ai Engineer - Enterprise Ai Solutions

As a Staff/Sr. Staff AI Engineer for Enterprise AI Solutions, you will be a crit...
Location
Location
United States , Santa Clara
Salary
Salary:
157200.00 - 254100.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in software engineering, with 5+ years in Data science/AI/ML experience
  • Experience deploying enterprise AI/ML systems
  • Understanding of the AI lifecycle
  • Experience with distributed systems and streaming data
  • Hands-on experience with Generative AI and LLMs
  • Proficiency in AI/ML frameworks and cloud platforms
  • Strong programming skills (Python and C++)
  • Excellent communication skills
  • Masters/Bachelors degree in Computer Science or related field
Job Responsibility
Job Responsibility
  • Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications
  • Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security
  • Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems
  • Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications
  • Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines
  • Lead POCs for emerging AI innovations
  • Champion design standards and best practices for AI systems, guiding junior engineers
  • Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
  • Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
  • Ensure AI systems comply with responsible AI principles and security policies
What we offer
What we offer
  • Restricted stock units
  • Bonus
  • Fulltime
Read More
Arrow Right

Staff Infrastructure Software Engineer, Enterprise AI

Scale GP is building the next generation of enterprise-grade Generative AI produ...
Location
Location
United States , New York; San Francisco
Salary
Salary:
216200.00 - 270250.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience in a senior role
  • 5+ years of full-time software engineering experience
  • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)
  • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)
  • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups
  • Proficiency in Python or JavaScript/TypeScript, and SQL
Job Responsibility
Job Responsibility
  • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers
  • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies
  • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response
  • Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization
  • Solve the toughest engineering problems related to multi-tenancy, data isolation, and high-performance inference at a massive scale, taking end-to-end ownership across the full product lifecycle
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • additional benefits such as a commuter stipend
  • Fulltime
Read More
Arrow Right

Senior Staff AI Engineer

As a Senior Staff AI Engineer, you will be a senior technical leader responsible...
Location
Location
United States , California
Salary
Salary:
199500.00 - 299300.00 USD / Year
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • 12+ years of experience building backend services, distributed systems, or data/AI platforms
  • Strong proficiency in Java, Go, or Python, with experience building largescale services
  • Deep understanding of distributed system design, scalability, fault tolerance, and cloud native architectures
  • Proven experience designing and operating production systems with SQL and NoSQL data stores
Job Responsibility
Job Responsibility
  • Lead the design and evolution of largescale, distributed AI systems that power Teradata’s AI platform and AI native products
  • Own end-to-end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
  • Drive technical strategy and architectural consistency across multiple engineering teams
  • Design and implement production grade AI systems using LLMs, embeddings, vector databases, and agent based architectures
  • Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
  • Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
  • Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
  • Influence roadmap decisions by providing deep technical insight, tradeoff analysis, and long-term platform thinking
  • Act as a technical escalation point for complex system design, performance, and reliability challenges
  • Drive best practices for testing, observability, evaluation, and production readiness of AI systems
What we offer
What we offer
  • health care
  • life and disability insurance
  • retirement savings
  • time-off programs
  • 401(k)-retirement savings plan
  • Fulltime
Read More
Arrow Right

Staff Security Engineer

Our mission is to protect, defend, and secure Uber’s products, infrastructure, a...
Location
Location
United States , New York; Seattle; San Francisco; Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS Degree in Computer Science, Engineering, or a related field.
  • 7+ years of industry experience in a software development or security engineering environment.
  • Proficiency in programming languages such as Golang, Java, or Python.
  • Deep understanding of distributed systems, high-availability, and high-performance system design.
  • Hands-on experience with Endpoint Security such as EDR, secure browser, and binary authentication.
Job Responsibility
Job Responsibility
  • Security Solution Development: Design, develop, and implement software solutions to automate and scale enterprise security defenses.
  • System Architecture: Own the platform and tools for securing enterprise systems across macOS, Windows, and Linux.
  • Technical Leadership: Set technical direction for specific projects by identifying priorities, managing expectations, and considering tradeoffs.
  • Innovation: Leverage automation and AI/ML to transform enterprise defense from human-driven to AI-driven.
  • Engineering Excellence: Champion best software engineering practices and empower teams to build a culture of quality and operational excellence.
  • Cross-Functional Collaboration: Partner with IT, product, and operations teams to integrate security posture improvements across the entire environment.
What we offer
What we offer
  • Uber's bonus program
  • equity award
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Senior Staff Security Engineer

Our mission is to protect, defend, and secure Uber’s products, infrastructure, a...
Location
Location
United States , New York; Seattle; San Francisco; Sunnyvale
Salary
Salary:
267000.00 - 297000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree or equivalent in Computer Science, Engineering, Mathematics, or a related field
  • 10+ years of full-time work experience in security engineering and/or software engineering
  • Demonstrable technical expertise in managing complex security programs such as Vulnerability Management, Endpoint Security, or Application Security
  • Proficiency in programming languages like Golang, Python, or Java
  • A track record of successful execution in engineering security and/or product development at cloud-scale
  • Master's Degree or PhD in Computer Science, Engineering, Mathematics, or a related field
  • In-depth knowledge of security software frameworks, EDR solutions, and production services on public cloud providers (GCP, OCI, Azure, or AWS)
  • Experience with AI technologies and frameworks and incorporating them into production systems
  • Experience leading complex technical projects across multiple engineering organizations and locations
  • Ability to solve problems and make complex decisions with incomplete information in ambiguous situations
Job Responsibility
Job Responsibility
  • Define and execute the technical strategy and roadmap for securing the enterprise environment and endpoints
  • Set organizational-level technical direction by identifying priorities and opportunities, managing expectations, and considering tradeoffs
  • Own the platform, architecture, and tools for securing corporate and production endpoints, including macOS, Windows, and Linux
  • Design and build next-generation security platforms and services to automate and scale enterprise security defenses
  • Define and lead the technical strategy for identifying, prioritizing, and remediating security vulnerabilities across all endpoints and applications
  • Champion best software engineering practices and empower engineers to build a strong culture of quality to achieve operational excellence
  • Partner with IT, product, and operations teams to integrate security posture improvements at scale across the entire environment
  • Leverage automation and AI to transform enterprise defense from human-driven to AI-driven
What we offer
What we offer
  • Uber's bonus program
  • equity award
  • 401(k) plan
  • various benefits
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer, you will be a senior technical leader responsible for de...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • 8+ years of experience building backend services, distributed systems, or data/AI platforms
  • Strong proficiency in Java, Go, or Python, with experience building large‑scale services
  • Deep understanding of distributed system design, scalability, fault tolerance, and cloud‑native architectures
  • Proven experience designing and operating production systems with SQL and NoSQL data stores
Job Responsibility
Job Responsibility
  • Lead the design and evolution of large‑scale, distributed AI systems that power Teradata’s AI platform and AI‑native products
  • Own end‑to‑end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
  • Drive technical strategy and architectural consistency across multiple engineering teams
  • Design and implement production‑grade AI systems using LLMs, embeddings, vector databases, and agent‑based architectures
  • Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
  • Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
  • Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
  • Influence roadmap decisions by providing deep technical insight, trade‑off analysis, and long‑term platform thinking
  • Act as a technical escalation point for complex system design, performance, and reliability challenges
  • Drive best practices for testing, observability, evaluation, and production readiness of AI systems
What we offer
What we offer
  • People-first culture
  • Flexible work model
  • Focus on well-being
  • Inclusive environment
  • Fulltime
Read More
Arrow Right

Staff Security Engineer

At hyperexponential, we’re building the AI-powered platform that enables the wor...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
hyperexponential.com Logo
hyperexponential
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Built or significantly contributed to security programmes from the ground up, establishing foundational security controls, compliance readiness, and incident response capabilities
  • Designed and implemented security architecture for cloud-based distributed systems (AWS or equivalent), including multi-account strategies, identity and access management, network security, and data protection
  • Driven technical security improvements by writing code, building tools, and implementing controls that scaled with company growth
  • Integrated security into development workflows through DevSecOps practices including automated testing, secrets management, container security, and infrastructure-as-code security
  • Led or supported compliance initiatives (SOC2, ISO27001, GDPR, or similar), mapping technical controls to compliance requirements and guiding teams through audit cycles
  • Built trust with engineering teams by contributing technically and making security collaborative and frictionless
  • Balanced security rigor with business goals, making risk-based trade-offs that enabled growth while protecting customers and the business
  • Evaluated security implications of AI/ML systems, including understanding AI-specific risks and implementing controls to secure them
Job Responsibility
Job Responsibility
  • Build hx's security programme from the ground up, setting direction for security architecture, compliance, and incident response as we scale globally
  • Design and implement security controls across AWS cloud infrastructure, Kubernetes workloads, and our multi-product platform, ensuring systems are secure by design
  • Integrate security into engineering workflows by embedding automated security testing, vulnerability management, and threat detection into CI/CD pipelines without slowing teams down
  • Lead or contribute to compliance initiatives (SOC2, ISO27001) by implementing technical controls and working cross-functionally with legal, engineering, and business teams to enable enterprise sales
  • Build security automation and tooling by writing code and scripts that scale security practices, detect vulnerabilities, and enforce policies efficiently
  • Partner with Engineering Managers, Principal Engineers, and Product Managers to embed security thinking early in design and architecture decisions
  • Act as a trusted voice in critical moments: responding to incidents, unblocking teams on security questions, and keeping high-stakes initiatives secure and on track
  • Assess and secure AI-powered systems across hx's platform, implementing controls that enable safe adoption of AI while mitigating risks like prompt injection, data leakage, and model vulnerabilities
What we offer
What we offer
  • £5,000 training and conference budget for individual and group development
  • 25 days of holiday plus 8 bank holidays (33 days total)
  • Company pension scheme via Penfold
  • Mental health support and therapy via Spectrum.life
  • Individual wellbeing allowance via Juno
  • Private healthcare insurance through AXA
  • Income protection and Life Insurance
  • Cycle to Work Scheme
  • Top-spec equipment (laptop, screens, adjustable desks, etc.)
  • Regular remote and in-person hackathons, lunch and learns, socials, and game nights
  • Fulltime
Read More
Arrow Right

Staff Engineer Ii – Ai Automation

Location
Location
United States , Irving
Salary
Salary:
Not provided
softwareresources.com Logo
Software Resources
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of related experience IT App Support, IT Development, IT Networking, or similar field
  • Bachelor's degree in related field required
  • Experience designing and supporting enterprise‐scale systems
  • Intermediate Python skills for building integrations, automation, or AI workflows
  • Hands‐on or working knowledge of Generative AI / LLMs and agentic approaches and Azure AI Foundry or similar AI model platforms
  • Understanding of APIs, integrations, and security fundamentals
  • Strong problem‐solving skills and comfort supporting production systems
  • Advanced knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices
  • Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously
  • Additional experience with pipeline development and leveraging Azure DevOps while working on multiple projects simultaneously
Job Responsibility
Job Responsibility
  • Provide expertise in a suite of technical tools and products in a given domain to ensure solutions are safe, secure, compliant and reliable
  • Identify develop and support needs, as well as taking on design responsibilities supporting project tasks
  • Facilitate dialogue and activities to ensure team collaboration including teams outside of your domain
  • Develop effective presentations and narratives for their teams
  • Own engineering work from design through production support
  • Build AI‐enabled and agent‐based solutions, including Generative AI (LLMs) and Agentic patterns
  • Apply best practices for reliability, performance, and observability
  • Design and build solutions using Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
  • Integrate AI capabilities using Azure OpenAI / Copilot‐style patterns
  • Contribute to API and system integrations, including secure authentication (OAuth)
What we offer
What we offer
  • competitive salaries
  • an ownership stake in the company
  • medical and dental insurance
  • time off
  • a great 401k matching program
  • tuition assistance program
  • an employee volunteer program
  • a wellness program
  • Fulltime
Read More
Arrow Right