CrawlJobs Logo

Staff Enterprise Security Engineer, AI Security

stytch.com Logo

Stytch

Location Icon

Location:
Ireland

Category Icon

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

Not provided

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

Additional Information:

Job Posted:
May 10, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Staff Enterprise Security Engineer, AI Security

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 Software Engineer, AI Runtime

We’re seeking a Staff Software Engineer to help power the future of agentic AI w...
Location
Location
United States
Salary
Salary:
185000.00 - 215000.00 USD / Year
apollographql.com Logo
Apollo GraphQL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expertise in agent-to-tool orchestration, routing, and coordination in scalable, fault-tolerant systems
  • Deep expertise in Rust programming language
  • Strong background in distributed systems, server architecture, and high-performance backend development
  • Proven experience with protocol design, message routing, and server-side orchestration frameworks
  • Experience building and maintaining robust runtime infrastructure that supports AI-driven workflows and enables reliable agent-to-tool interactions
  • Proven experience with protocol design, message routing, and building server-side frameworks that enable scalable, reliable multi-tool agent workflows
  • Hands-on experience with observability, monitoring, and debugging frameworks for complex systems
  • Passion for clean, maintainable code, high system reliability, and scalable architecture
  • Experience in strategic system design, making architectural trade-offs, and planning for long-term scalability and maintainability
  • Strong technical leadership and mentorship, including guiding junior engineers and driving engineering best practices across teams
Job Responsibility
Job Responsibility
  • Architect and scale an enterprise AI/MCP Server and Gateway that powers multi-agent workflows across Apollo, including routing, orchestration, and integration boundaries
  • Design and implement robust server infrastructure to ensure reliability, performance, and security at scale
  • Build and maintain tools for agent discovery, communication, and coordination
  • Define deployment strategies and runtime optimizations to maximize efficiency and minimize operational overhead
  • Develop frameworks and patterns that enable seamless multi-agent collaboration and AI-driven orchestration
  • Integrate observability, logging, and monitoring for full visibility into server and agent behavior
  • Explore and implement AI-enhanced developer workflows to optimize orchestration and agent interactions
  • Collaborate with teams across Apollo to ensure the MCP Server meets evolving product and developer needs
What we offer
What we offer
  • Offers Equity
  • Choice of 3 Anthem Blue Cross medical plans (California residents can also choose from an additional 2 Kaiser medical plans)
  • Dental and Vision benefits are provided by Sun Life Financial
  • Fulltime
Read More
Arrow Right

Sr. Director, Product Management for Data & AI, Security and HSI

The Sr. Director of Product Management will lead the strategy and execution of T...
Location
Location
United States , Bellevue
Salary
Salary:
207700.00 - 280900.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • More than 10 years Product Management experience in an agile software product development environment preferably in a large consumer organization with millions of consumer applications and an advanced level understanding of superior customer experiences
  • 5+ years of experience in AI, data science, and analytics
  • Expertise in LLMs and Generative AI field
  • Experience leading digital applications and successfully launching Data & AI products in the market at large scale
  • Background working with Engineering and a strong understanding of the role of engineering in product development
  • 10+ years of experience in leading strategy, innovation, and data products
  • Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms
  • 5+ years leading and developing teams of 5 or more Manager level direct reports with skip-level employees
  • Bachelor's Degree in Computer Science, Engineering, IT or equivalent
  • Demonstrated experience driving enterprise data, analytics, and insights solutions and other technologies
Job Responsibility
Job Responsibility
  • Develop the data products that empower digital customer experiences to be contextual and personal, revamping and redesigning journeys using the new AI experiences
  • Define the overall strategy for how to build and deliver the best experience to our existing users and grow the strategic areas in the T-Life Super App and T-Shop on web
  • Build a Data & AI and Security platform for all Magenta users including Postpaid, Prepaid, TFB Micro and HSI
  • reusing the platform for Metro users to build the same capabilities in the new MyMetro App
  • Enable all the core HSI (High Speed Internet) consumer experiences into one single platform available across Magenta and Metro brands
  • Oversee Security Products for ScamSheild, P360, device diagnostics, VPN, credit monitoring etc. in T-Life to ensure that we can fully fill our promise of “Peace of mind” in the T-Life app
  • Develop and maintain strategic partnerships with senior internal and/or external customers
  • Creates, plans, and owns a portfolio of high-quality products & services through a lifecycle of envisioning/investing/innovating
  • Champion and communicate information and AI product value and other key performance indicators to partners and team members
  • Develop change management and communication plans and execute connected with customer change initiatives
What we offer
What we offer
  • medical, dental and vision insurance
  • a flexible spending account
  • 401(k)
  • employee stock grants
  • employee stock purchase plan
  • paid time off
  • up to 12 paid holidays
  • paid parental and family leave
  • family building benefits
  • back-up care
  • Fulltime
Read More
Arrow Right

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

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

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...
Location
Location
United States , Chevy Chase, MD; Palo Alto, CA
Salary
Salary:
130000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8 or more years of professional software engineering or applied machine learning experience
  • 2 or more years working with Generative AI or LLM-based systems in production
  • Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
  • Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
  • Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
  • Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
  • Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
  • Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
  • Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering
Job Responsibility
Job Responsibility
  • Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
  • Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
  • Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
  • Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
  • Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
  • Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
  • Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
  • Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
  • Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
  • Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
waystone.com Logo
Waystone Governance Ltd.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
  • Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
  • Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
  • Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
  • Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
  • Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
  • Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
  • Analytical thinking with excellent problem‑solving ability and keen attention to details
  • Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
  • Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption
Job Responsibility
Job Responsibility
  • Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
  • Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
  • Integrate AI capabilities following secure, scalable engineering best practices
  • Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
  • Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
  • Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
  • Lead AI‑based document parsing and intelligent data extraction initiatives
  • Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
  • Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
  • Prototype AI features and iterate towards production‑ready capabilities
  • Fulltime
Read More
Arrow Right

AI Engineer

Reporting to the AI & Technology Oversight Manager, the AI Engineer is responsib...
Location
Location
United Kingdom , Leeds
Salary
Salary:
Not provided
waystone.com Logo
Waystone Governance Ltd.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases
  • Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows
  • Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools
  • Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript
  • Excellent communication skills, with the ability to translate complex AI concepts for non‑experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non‑technical
  • Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation
  • Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making
  • Analytical thinking with excellent problem‑solving ability and keen attention to details
  • Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture
  • Ability to assess AI‑enabled capabilities in third‑party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption
Job Responsibility
Job Responsibility
  • Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes
  • Develop and implement AI‑enabled microservices, APIs, applications, and internal tools
  • Integrate AI capabilities following secure, scalable engineering best practices
  • Design, build and validate AI‑driven solutions leveraging providers such as OpenAI and Anthropic
  • Enhance low‑code/no‑code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant
  • Implement Model Context Protocol (MCP) servers for secure AI‑to‑system connectivity
  • Lead AI‑based document parsing and intelligent data extraction initiatives
  • Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents
  • Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‑value AI opportunities across Waystone
  • Prototype AI features and iterate towards production‑ready capabilities
  • Fulltime
Read More
Arrow Right