Application & Ai Security Engineer Job at Robert Half (Plymouth)

PhD Student Security Engineering AI

The digitalization of modern, highly networked vehicles requires protection agai...

Location

Germany , Berlin; Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Very good university degree qualifying for doctoral studies in engineering, natural sciences, computer science, or comparable fields of study
Relevant theoretical and practical experience with AI methods and technologies
Enthusiasm for cybersecurity
Initiative and ability to work in a team
Systematic and independent way of working
English and German language level B2

Job Responsibility

Analyzing, assessing, and evaluating the benefits of applying artificial intelligence methods in security engineering within vehicle development
Designing and testing the application of selected artificial intelligence methods for the creation, verification, and validation of security cases for vehicle systems
Designing and evaluating procedures for testing artificial intelligence methods in security engineering for development scopes subject to homologation and certification

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

Senior AI Security Engineer

Senior AI Security Engineer role in Citi's Application, Platform and Engineering...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Production system builder with security focus - proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up
Ethical hacking and penetration testing expertise - hands-on experience finding and exploiting vulnerabilities, conducting red team exercises
State-of-the-art security engineering with Go, Python, JavaScript
HashiCorp Vault mastery - deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials
Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems
API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments
AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks
Security automation and tooling – automating manual security processes
Cloud-native security - securing containerized applications in Kubernetes, service mesh security
Incident response and forensics - experience investigating, analyzing, and responding to security incidents

Job Responsibility

Build secure AI products from 0-1 - Engineer production-grade, business-facing AI platforms with security built-in from day one
Conduct ethical hacking and red team activities - penetration testing, vulnerability research, and attack simulation
Design and build security tools and frameworks - Create automated security solutions that scale across fast-paced development cycles
Secure novel AI attack surfaces - Identify and mitigate LLM-specific vulnerabilities, prompt injection attacks, and AI model security risks
Lead 'shift left' security - Embed security practices throughout rapid development lifecycle while maintaining velocity
Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security-first thinking

What we offer

27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Hybrid working model (up to 2 days working at home per week)
Competitive base salary (annually reviewed)

Fulltime

Security Engineer, Application Security

Figure is an AI Robotics company developing a general purpose humanoid. Our huma...

Location

United States , San Jose

Salary:

150000.00 - 350000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Experience in several of the following application security domains: penetration testing, vulnerability research, security assessment, secure coding practices, security architecture & design, hardware security
Strong software engineering (not scripting or automation) skills in C/C++, Rust, Golang, Python or similar
Experience with securing embedded systems, including secure boot, secure identity, OTA, or others
Solid foundation in web security, mobile security, or cryptography
Ability to collaborate with internal and external stakeholders whilst prioritizing tasks and work independently under minimal supervision.
BS in Computer Science, Engineering, Information Systems, or equivalent years of experience in a related technical field
3+ years of experience in the field of application security or related security role
Passion for learning and helping others
Excellent verbal and written communication skills, with high attention to detail

Job Responsibility

Conduct security assessments of applications, embedded systems, back-end services, and business integrations, as well as build tooling for a secure development lifecycle
Design technical solutions to mitigate security weaknesses on the robot and our service stack. Work with teams across the company to implement them.
Build frameworks and systems to prevent classes of vulnerabilities
Hunt for vulnerabilities and insecure coding patterns on our product stack (backend services and robot internal systems)
Be a champion for security and user privacy

Fulltime

AI Application Engineer

As an AI Application Engineer at Rearc, you'll contribute to the technical excel...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in AI engineering, machine learning (ML), or related fields, bringing valuable expertise in building and deploying intelligent systems
Strong understanding of state of the art techniques in generative AI, including large language models (LLMs), text generation and other foundation models
Familiarity with AI orchestration tools (e.g. LangGraph, CrewAI, Bedrock Agents, smolagents, etc)
Experience in fine-tuning, prompt engineering or otherwise adapting generative models for specific use cases
Experience with AI model evaluation, including human-in-the-loop and LLM judge paradigms
Familiarity with NLP libraries and frameworks
Hands-on experience in implementing Retrieval Augmented Generation (RAG) architectures and integrating retrieval systems with generative models
Knowledge of at least one vector store or database (e.g. Opensearch, Pinecone, PostgreSQL with pgvector) and techniques for similarity search
Familiarity with common data ingestion/ETL patterns for populating knowledge bases
Experience with implementing LLM tool calling (either directly, via an orchestration framework, or using Model Context Protocol (MCP) clients)

Job Responsibility

Collaborate with Colleagues – Work closely with colleagues to understand customers' business objectives and technical challenges, contributing to the design and development of effective GenAI solutions tailored to client needs
Apply GenAI Principles – Utilize modern tools and frameworks like LangGraph, to build scalable, reliable, and maintainable Compound AI systems. Leverage your understanding of AI fundamentals to ensure every project meets rigorous industry and ethical standards
Adapt to the latest Technologies & Patterns – continue to research, learn, and stay abreast of the most recent state of the art for AI application development
Promote Knowledge Sharing –Bolster our culture of continuous learning by sharing knowledge about AI engineering best practices through blog posts, articles, and internal talks. Support a collaborative environment that fosters shared expertise and ongoing innovation across our community

Security Engineering Lead

Citi's Application, Platform and Engineering team is looking for a Security Engi...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bring your deep-dive application security engineering expertise from building production systems
thrive in a results-driven environment, where flexibility fuels impact
be a game-changer, ready to step beyond your designated role
love the synergy of pair programming
seize the opportunity to secure AI applications at scale
have a relentless passion to learn more about AI security, LLM attacks, and bringing your knowledge to shape Citi's secure AI future
proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up
hands-on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses
experience building security tools and secure production systems with Go, Python, JavaScript
deep experience with HashiCorp Vault for enterprise-scale secrets management

Job Responsibility

Build secure AI products
conduct penetration testing and vulnerability research
design automated security solutions
identify and mitigate AI-specific vulnerabilities
lead security practices in development lifecycles
mentor engineers on secure coding practices.

What we offer

27 days annual leave plus bank holidays
discretional annual performance-related bonus
private medical care and life insurance
employee assistance program
pension plan
paid parental leave
special discounts for employees, family, and friends

Fulltime

Product Security Engineer

Join Airtable as a Product Security Engineer and play a pivotal role in shaping ...

Location

United States , San Francisco; Seattle; New York City; Los Angeles

Salary:

170000.00 - 277000.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

2+ years experience in product security and application security
Experience shipping production code
Skilled at conducting in-depth security reviews and collaborating with engineering teams
Proficient in writing clean, maintainable code
Hands-on experience with AI product security for LLM-powered products
Strong communicator and collaborator, able to drive security initiatives
Comfortable making systems as well as breaking them
Familiar with JavaScript or TypeScript, Node, Linux, and AWS or comparable technologies
Comfortable working in a fast-paced environment and contributing to long-term security strategy

Job Responsibility

Partner with product teams to review product plans, designs, and code for security considerations
Lead and implement programs that raise the bar for application and product security
Build and ship frameworks that make it easy for product engineers to ship secure code
Triage and drive remediation for findings from external penetration testers
Research emerging threats and evolving best practices, especially in AI and LLM safety
Work with advisors and third party vendors on penetration tests, security reports and compliance projects
Contribute to roadmaps, metrics and strategic planning for the product security team

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

AppSec & AI Security Architect

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Cybersecurity, Computer Science, or Engineering
10+ years of experience in application or product security architecture, preferably in large enterprise or SaaS environments
Proven expertise in secure application and API design, cloud-native security, and DevSecOps enablement
Proven expertise in secure application and API design, WAAP, and ASPM solutions
Strong experience with Kubernetes (K8s), containerization, and service mesh architectures
Hands-on experience implementing or governing GitOps pipelines and policy-as-code frameworks (e.g., OPA/Gatekeeper, Kyverno)
Knowledge of Zero Trust, data protection, and modern identity standards (OIDC, OAuth2)
Familiarity with AI/ML security risks, model governance, and responsible AI adoption
Deep knowledge of OWASP ASVS, NIST CSF, ISO 27034, and CIS Controls
Desired Certifications: CISSP, CSSLP, SABSA, CCSP, CKA (Certified Kubernetes Administrator), or CCSK.

Job Responsibility

Defining and maintaining secure application architecture patterns, reference designs, and reusable components across enterprise and cloud-native ecosystems
Performing architecture risk assessments and threat modeling for major application programs, APIs, and platforms
Leading adoption of Web Application and API Protection (WAAP) controls and Application Security Posture Management (ASPM) tools to enable continuous risk visibility and compliance
Embedding security controls in SDLC and CI/CD pipelines, including SAST, DAST, SCA, IaC, and container scanning
Designing and governing security for Kubernetes-based and containerized workloads, including service mesh and runtime protection
Developing and enforcing standards for API and microservices security, including authentication, authorization, and token lifecycle management (OAuth2, OIDC, mTLS)
Establishing secure-by-default configurations for CI/CD and GitOps pipelines (e.g., ArgoCD, Flux, Jenkins, GitHub Actions)
Partnering with engineering teams to design secure cloud-native and hybrid architectures across AWS, Azure, and GCP
Providing security guidance for applications leveraging AI/ML or LLM capabilities, such as input/output sanitization, model integrity, and data protection
Establishing application security KPIs, governance models, and maturity metrics

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion.

Fulltime

Senior Security Engineer

As a Senior Security Engineer, you will play a crucial role in safeguarding Dash...

Location

France , Paris

Salary:

Not provided

Dashlane

Expiration Date

Until further notice

Requirements

Familiarity with application security best practices, including threat modeling
Experience operating within an SDLC program
An understanding of CI/CD pipelines and their security implications
Familiarity in Identity and Access Management (IAM) frameworks and protocols (Passkeys, SAML, OAuth, SCIM, etc)
Interest in enabling secure use of AI tools to drive efficiency, creativity, and impact internally
Communication & Collaboration: You engage and listen empathetically to others, adjusting your communication style to fit the audience and message.
Mentoring: You enjoy using your knowledge and experience to support and uplevel those around you.
Motivated Learner: You learn new technologies and processes quickly, and understand where to look for knowledge when you need it.
Adaptability: You are a jack or jane of all trades - you’re comfortable digging into non-technical parts of the business to provide security support and guidance.

Job Responsibility

Help drive the continuous improvement of Dashlane’s security program across the product and company
Assist with architecture design reviews, threat modeling, and technical security assessments of Dashlane’s product (application and infrastructure) to identify security risks and provide mitigation guidance
Ensure security best practices are integrated throughout the software development lifecycle (SDLC)
Build upon and scale Vulnerability Management to ensure the team can track, analyze, and manage vulnerabilities and their remediation
Perform risk assessments of Dashlane’s internal systems, environments, assets, and data, and implement security best practices accordingly
Participate in Compliance and Incident Response activities

What we offer

Flex Benefits - monthly amount to be allocated to a pool of benefits of your choice.
Health insurance covered by Dashlane.
Extended time off and well-being days - add 5 days to you vacation quota, plus your birthday day off, and 4 extra days (one per quarter) to acknowledge the importance of your wellbeing.
Equal Parental leave - regardless of gender, up to 20 weeks fully paid leave to take care of their new baby, within the first year of birth or adoption.
Mentorship program - select your mentor from our internal pool and continue your learning path!
Flexible working hours - depending on the role, determine a schedule that fits your need, in alignment with your manager.
Donation matching program - give back to the community and support actions that lead to positive social impact under the historically marginalized communities. Every donation will be matched by Dashlane.
Mental health services through Spring Health for you and for you and family members.
Team buildings & seasonal social events.
Weekly lunch in the office and monthly happy hour and much more.

Fulltime

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Application & Ai Security Engineer

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