ai security engineer

Truist

<div>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
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Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h3 class="jobSectionHeader">
Please review the following job description:</h3>
***This role is 5 days a week in the Charlotte Office*** 
 
The AI Security Engineer helps design, implement, test, and operate the controls that keep enterprise AI systems safe, governed, and production-ready.
 
 
This role focuses on the security engineering foundations required for AI-enabled applications, agents, prompt-driven workflows, and tool-integrated automations operating in a regulated enterprise environment.
 
 
This is a hands-on engineering role within the Forge AI Security &amp; Governance model.
 
 
The engineer supports guardrail implementation, prompt-injection defense, output filtering, monitoring, secure tool-use boundaries, logging, detection content, and deployment-readiness controls for AI-enabled systems.
 
 
The work spans design, testing, automation, detection engineering, and operational support across the AI delivery lifecycle.
 
 
Daily work includes implementing security controls for AI and agentic systems, validating configurations, supporting adversarial test preparation, building monitoring logic, partnering with engineering to harden prompt and tool behaviors, documenting controls, and ensuring AI solutions meet enterprise safety, traceability, and governance requirements before and after deployment.
 
 
***For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)***
ESSENTIAL DUTIES AND RESPONSIBILITIES 
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.<ul><li>
Implement and maintain security controls for AI-enabled applications, agents, prompts, and workflow automations, including input validation, output filtering, access controls, and governed tool-use restrictions.</li><li>
Support development and operationalization of AI guardrails that reduce risk from prompt injection, unsafe responses, unauthorized tool execution, data leakage, and insecure workflow behavior.</li><li>
Assist with adversarial and misuse-oriented testing activities by preparing scenarios, validating defenses, capturing findings, and supporting remediation with engineering teams.</li><li>
Build and maintain monitoring and alerting logic for AI or agentic systems, including suspicious prompt patterns, abnormal workflow behavior, anomalous tool invocation, or policy-violating output patterns.</li><li>
Contribute to runtime safety patterns such as content filters, role/permission boundaries, logging, evidence capture, and traceability controls required for secure deployment and audit readiness.</li><li>
Partner with product and engineering teams to embed AI security expectations into design reviews, acceptance criteria, test plans, and deployment gates from the beginning of the delivery cycle.</li><li>
Validate that AI-enabled solutions meet required security and governance standards before release, including deployment gate criteria, control validation, and documentation completeness.</li><li>
Support incident investigation and remediation for AI-related control failures, suspicious behavior, or production observations that indicate safety or security degradation.</li><li>
Help maintain control documentation, implementation notes, runbooks, remediation evidence, and operating procedures for AI security engineering activities.</li><li>
Collaborate with AI quality, QA, platform, data, and security teams to ensure safe, resilient, and observable AI solutions across development and production environments.</li><li>
Continuously improve automation, guardrail logic, validation workflows, and monitoring content as AI capabilities, workflows, and attack patterns evolve.</li></ul>
QUALIFICATIONS 
Required Qualifications: 
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>
Bachelor&rsquo;s degree and equivalent combination of advanced education and experience, which could include any combination of 8 years of experience in IT software engineering, 5 years&rsquo; relevant business experience (i.e. making technical-related decisions on the business side), 5 years&rsquo; experience in project management, and at least 2 years of management experience</li><li>
Broad and in-depth knowledge of technology trends, competitive environment, regulatory requirements and trends, and IT strategies employed to continually meet the demands of clients and regulators</li><li>
Ability to translate enterprise level strategic planning information into software and data management needs, create business plans, and turn them into effective business solutions</li><li>
Executive level communications skills, including, strong negotiation/facilitation/presentation skills and experience negotiating with vendors for relevant products and services</li><li>
Ability to lead projects of significant complexity and risk exposure, particularly with enterprise-wide implications</li><li>
Ability to exercise judgment in solving technical, operational, and organizational challenges in the context of complex business objectives and priorities</li><li>
Ability to lead and manage the performance of multiple teams against a set of financial and operational objectives</li></ul>
Additional Requirements:<ul><li>
3+ years of experience in security engineering, cybersecurity operations, application security, or a closely related technical discipline.</li><li>
Hands-on experience implementing technical controls for enterprise software, APIs, cloud-native services, or automation workflows.</li><li>
Working knowledge of AI/LLM security concepts such as prompt injection, unsafe output handling, tool-use abuse, sensitive data exposure, and control boundary enforcement.</li><li>
Experience with logging, alerting, monitoring, or detection content for identifying suspicious or policy-violating behavior in applications or workflows.</li><li>
Understanding of access control, identity boundaries, secrets handling, secure integration design, and environment-based deployment controls.</li><li>
Ability to work with engineering teams to translate security concerns into implementable guardrails, validations, and release controls.</li><li>
Strong written documentation and communication skills, especially for controls, findings, remediation evidence, and technical guidance.</li><li>
Experience operating within enterprise governance, security, and release-management practices where evidence-based deployment readiness matters.</li></ul><div>
PREFERRED QUALIFICATIONS<ul><li>
Experience with AI or agentic security controls, prompt and output protection strategies, or security validation of LLM-enabled features.</li><li>
Experience with Microsoft, Azure, Copilot / Copilot Studio, or AI-enabled enterprise workflow platforms.</li><li>
Experience with adversarial testing, red teaming support, detection engineering, or misuse-case validation for AI-enabled systems.</li><li>
Experience in financial services, cybersecurity, regulated enterprise environments, or platforms with high audit and control requirements.</li><li>
Familiarity with secure tool-calling patterns, API protections, model or prompt change validation, and runtime traceability for AI systems.</li><li>
Working knowledge of cloud-native security patterns, telemetry analysis, and deployment gating for modern engineering teams.</li></ul></div>
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Up to 50%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>

AI Security Engineer

Carnegie Mellon University

<div><div><div>At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
</div><div>As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
</div><div><ul><li>build real-world, mission-scale AI capabilities through solving practical engineering problems
</li></ul></div><div><ul><li>discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities
</li></ul></div><div><ul><li>prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities
</li></ul></div><div><ul><li>identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape 
 
</li></ul></div><div>Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. 
 
</div><div>Overview : As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. 
</div><div>The Secure AI Lab within the SEI&rsquo;s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn&rsquo;t supposed to. 
</div><div>The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:
</div><div><ul><li>Counter AI Research : Study threat models targeting AI and ML algorithms , understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems .
</li></ul></div><div><ul><li>AI and ML Algorithm Defense Research: Creat e practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques .
</li></ul></div><div><ul><li>Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. 
</li></ul></div><div>As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. 
</div></div><div><div>Your day-to-day engineering tasks will include:
</div><div><ul><li>Identifying and i nvestigating emerging AI and AI-adjacent technologies.
</li></ul></div><div><ul><li>Defining and r efining processes, practices, and tools for working with AI.
</li></ul></div><div><ul><li>Designing and b uilding well-engineered prototypes of AI systems.
</li></ul></div><div><ul><li>Transitioning and p roviding guidance on AI capabilities to government sponsors. 
</li></ul></div><div>Duties
</div><div><ul><li>Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch , Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with dat a pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
</li></ul></div><div><ul><li>Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
</li></ul></div><div><ul><li>Test ing and evaluat ion . You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.
</li></ul></div><div><ul><li>Collaborat ion . You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions .
</li></ul></div><div><ul><li>Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI. 
</li></ul></div><div>Knowledge and Experience
</div><div><ul><li>Comprehensive knowledge of machine learning ; previous experience in adversarial machine learning desirable but not required
</li></ul></div><div><ul><li>A track record of using well-established engineering practices to solve difficult problems
</li></ul></div><div><ul><li>An understanding of how to convert research results in to functioning prototypes or capabilities
</li></ul></div><div><ul><li>Experience l ead ing technical projects in novel areas with limited previous work to build upon
</li></ul></div><div><ul><li>Strong written and verbal communication skills ; able to convey complex technical ideas in a layperson&rsquo;s terms
</li></ul></div></div><div><div><ul><li>Ample experience with publishing written or technical artifacts showcasing your work
</li></ul></div><div><ul><li>Strong collaboration skills for working with colleagues and sponsors
</li></ul></div><div><ul><li>Willing ness to guide and mentor junior team members 
</li></ul></div><div>Requirements
</div><div><ul><li>A bachelor&rsquo;s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline. 
 
</li><li>Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
</li></ul></div><div><ul><li>You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance. 
 
</li><li>Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.
</li></ul></div></div>Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access , and much more!
For a comprehensive overview of the benefits available, explore our Benefits page .
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff &ndash; Regular
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
<div><div><div><div><ul><li>Please visit &ldquo; Why Carnegie Mellon &rdquo; to learn more about becoming part of an institution inspiring innovations that change the world.</li><li> 
</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
</li><li>Statement of Assurance</li></ul></div></div></div></div></div>

Associate Machine Learning Engineer - Secure AI Lab

American Recruiting & Consulting Group

<div><h2 class="jobSectionHeader">AI Security Architect (LLM Security / Guardrails / Enterprise Architecture)</h2>
100% REMOTE! 
W2 Contract Only | No C2C / No 1099 / No Third-Party Vendors 
Must have permanent US work authorization or USA Citizenship (no sponsorship now or in the future)<h3 class="jobSectionHeader">
SUMMARY STATEMENT</h3>
ARC Group is seeking an experienced AI Security Architect for a direct client in the healthcare insurance domain. This role is responsible for designing and implementing enterprise AI security architecture, with a strong focus on securing locally hosted AI/LLM models, defining and enforcing AI guardrails, and establishing security standards, blueprints, and governance frameworks across AI-driven platforms.
This is a true Architect-level role requiring hands-on experience in AI security design, threat modeling, and control implementation across the full AI lifecycle.<h3 class="jobSectionHeader">
ESSENTIAL RESPONSIBILITIES</h3><ul><li>
Design and implement end-to-end AI security architecture for locally hosted AI/LLM platforms.</li><li>
Define and enforce AI guardrails, including prompt injection prevention, input/output filtering, and response validation controls.</li><li>
Develop and maintain enterprise security blueprints, architecture standards, and design patterns for AI/ML platforms.</li><li>
Perform AI threat modeling and identify risks such as model misuse, adversarial inputs, and data leakage.</li><li>
Implement security controls across the AI lifecycle, including data ingestion, model training, inference, and output handling.</li><li>
Establish and monitor security metrics and controls to evaluate effectiveness of AI security architecture.</li><li>
Collaborate with engineering, data science, and infrastructure teams to ensure secure AI platform design and deployment.</li><li>
Participate in architecture governance, design reviews, and technology evaluations, including build vs. buy decisions.</li><li>
Evaluate and recommend AI security tools, frameworks, and solutions aligned to enterprise standards.</li><li>
Maintain architecture documentation, security standards, and operational procedures.</li><li>
Provide leadership on emerging AI security threats, vulnerabilities, and industry trends.</li></ul><h3 class="jobSectionHeader">
REQUIRED EXPERIENCE</h3><ul><li>
10+ years of overall cybersecurity experience with strong focus on architecture and design.</li><li>
2+ years of CURRENT hands-on experience in AI security architecture (MANDATORY).</li><li>
Proven experience securing locally hosted / on-prem AI or LLM models.</li><li>
Hands-on experience implementing AI guardrails, including:<ul><li>
Prompt injection prevention</li><li>
Input/output filtering</li><li>
Response validation and policy enforcement</li></ul></li><li>
Strong experience designing end-to-end security architecture for AI/ML platforms.</li><li>
Deep understanding of AI/LLM threat landscape (prompt injection, data leakage, model abuse).</li><li>
Experience with enterprise security architecture frameworks and governance models.</li><li>
Hands-on experience with cloud security (AWS and/or Azure).</li><li>
Strong background in Identity and Access Management (IAM), RBAC, and secure access controls.</li></ul><h3 class="jobSectionHeader">
REQUIRED CERTIFICATIONS</h3><ul><li>
CISSP (REQUIRED at time of submission)<ul><li>
Certification number must be included on resume</li><li>
Will be validated during background screening</li></ul></li></ul><h3 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h3><ul><li>
Experience in healthcare or other regulated environments (HIPAA, PHI protection).</li><li>
Experience working in Agile / Scaled Agile environments.</li><li>
Exposure to AI governance frameworks, compliance, or risk management practices.</li><li>
Experience with enterprise security monitoring, metrics, and risk reporting.</li></ul><h3 class="jobSectionHeader">
ADDITIONAL REQUIREMENTS</h3><ul><li>
Must demonstrate true architecture ownership (not just implementation or support roles).</li><li>
Must have current, hands-on involvement in AI security architecture initiatives.</li><li>
Strong communication skills with ability to explain complex security architectures to technical and non-technical stakeholders.</li><li>
Must be actively staying current with rapidly evolving AI security technologies and threats.</li></ul>
-
ARC Group is a Forbes-ranked top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We achieve this by understanding both our candidates&rsquo; and clients&rsquo; goals and serving both with integrity and a shared desire to succeed.
At ARC Group, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status.
Position offered with no fee to the candidate.
z3AXN0x92B</div>

AI Security Architect

Openkyber

<div>Security / Compliance Engineering Jersey City NEW JERSEY (Hybrid/Onsite)
Long term Contract This role focuses on securing modern AI/ML systems, including LLM-based applications. You will design security architectures that protect data, models, and infrastructure from emerging threats specific to AI workloads.
Responsibilities:
<ul><li>AI Security Architecture: Implement secure design patterns for ML pipelines, APIs, and model endpoints.</li>
<li>Threat Modeling: Identify and mitigate risks such as prompt injection, model inversion, data poisoning, and adversarial attacks.</li>
<li>Cloud Security: Enforce IAM, encryption, and network security across cloud platforms.</li>
<li>Compliance Implementation: Ensure systems meet GDPR, HIPAA, SOC 2, and other standards through automated controls and audits.</li>
<li>Monitoring &amp; Response: Build logging and alerting systems for anomalous model behavior or unauthorized access.</li>
</ul>Minimum Qualification Needed
7-10 years of experience in cybersecurity, preferably with exposure to ML systems
Preferred Qualifications:
<ul><li>Background in cybersecurity with exposure to ML systems.</li>
<li>Experience securing cloud-native architectures.</li>
<li>Understanding of AI-specific vulnerabilities and mitigation strategies.</li>
<li>Familiarity with DevSecOps and infrastructure-as-code tools (Terraform).</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

Machine Learning Intern

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Location</h2>
</div><div>This role is based in Pittsburgh, Lake Mary, FL, New York City.
</div></div><div><div><h2 class="jobSectionHeader">About The Job You're Considering</h2>
</div><div>The Security Architect AI leads the design and implementation of security controls for AI/ML systems across the entire lifecycle&mdash;data, model training, deployment, and operations. This role develops AI security architecture, establishes governance and risk frameworks, and defines secure-by-design standards for LLMs, GenAI tools, model pipelines, and agent-based systems.
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div><ul><li>AI threat modeling</li>
<li>model governance</li>
<li>data protection</li>
<li>securing MLOps/LLMOps pipelines</li>
<li>implementing guardrails and monitoring</li>
<li>leading AI red‑teaming</li>
<li>integrating AI telemetry into security operations</li>
<li>ensuring compliance with privacy and regulatory requirements</li>
<li>The role also provides strategic guidance to engineering and leadership, produces architecture patterns and policies, and evaluates third‑party AI services.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Your Skills And Experience</h2>
</div><div><ul><li>The ideal candidate has deep experience in security architecture, cloud platforms, data security, and AI/ML systems, including defenses against threats like prompt injection, data poisoning, model extraction, and adversarial attacks.</li>
<li>Strong communication skills, cross‑functional leadership, and familiarity with AI Risk and Governance Frameworks and Controls (FedRAMP, NIST 800-53, 800-37 AI RMF, FIPS 199/200, MITRE Atlas, etc.) are essential</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: $105, 570 - $215,050.
sation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. 
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Lead Cybersecurity Engineer - Security Architect AI - Generalist 2

Inception

<div>
 
 Overview
 
 
 
 Specialist Enterprise Tooling Engineer
 
 
 As a Specialist Enterprise Tooling Engineer at Inception, you will play a pivotal role in designing, implementing, and optimizing the enterprise tooling landscape, ensuring seamless integration and robust governance across the organization. This role combines strategic vision with hands-on engineering to deliver secure, scalable, and high-performing tooling solutions that empower both technical and business teams.
 
 
 
 The opportunity
 
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai.
 
 
 
 Responsibilities
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Strategic Tooling Roadmap: Define the long-term vision for the Inception enterprise tooling stack, evaluating emerging technologies and retiring legacy tools to maintain an efficient and innovative environment.
 </li>
 <li>
 Lifecycle &amp; Access Management: Develop and oversee identity lifecycle processes, including provisioning, RBAC, and automated deprovisioning. Ensure secure SSO integration, promote a "Least Privilege" model, and safeguard intellectual property within all enterprise tools and platforms.
 </li>
 <li>
 Enterprise Tooling Governance: Set and enforce governance frameworks and security guardrails for critical platforms, ensuring compliance with Zero Data Retention (ZDR) policies and protecting proprietary assets.
 </li>
 <li>
 DevSecOps Integration: Architect and implement advanced security tooling such as SAST, DAST, and GitHub Advanced Security (GHAS) within the CI/CD pipeline, enabling proactive threat detection and "Shift-Left" security practices.
 </li>
 <li>
 Document processes, procedures, and configurations to support knowledge sharing, operational excellence, and compliance requirements.
 </li>
 <li>
 Stay up-to-date with the latest developments in DevOps, cloud tooling, and security best practices, proactively recommending enhancements to strengthen security, efficiency, and developer experience.
 </li>
 <li>
 Executive Reporting: Design and deliver automated dashboards (e.g., Power BI) to provide CxO-level insights into developer productivity, tool utilisation, and cloud cost optimisation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years in DevOps, Tooling, or Platform Engineering.
 </li>
 <li>
 Excellent troubleshooting, analytical, and problem-solving skills.
 </li>
 <li>
 Effective communication and collaboration skills; ability to work across teams and explain technical concepts to non-technical stakeholders
 </li>
 <li>
 Security-minded, with knowledge of RBAC, secrets management, and compliance best practices
 </li>
 <li>
 Portfolio or examples of hands-on work with relevant tools and platforms are highly desirable
 </li>
 <li>
 Microsoft Certified: Azure Administrator Associate, Azure DevOps Engineer Expert, or equivalent.
 </li>
 <li>
 Proficient in integrating AI agents and Experience leveraging AI-assisted orchestration and autonomous agents to streamline infrastructure management, automate security compliance, and drive operational excellence.
 </li>
 <li>
 Expert Certification: Must hold Microsoft Certified: Azure DevOps Engineer Expert (AZ-400).
 </li>
 <li>
 GitHub Credential: Must hold (or be able to obtain) GitHub Administration or GitHub Advanced Security certification.
 </li>
 <li>
 AI Fluency: Proven experience managing enterprise-grade AI coding assistants and LLM API integrations.
 </li>
 <li>
 Infrastructure: Deep mastery of Terraform/Bicep and Azure Kubernetes Service (AKS).
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 
 What Working At Inception Offers
 
 
 
 
 Culture
 
 : An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 Career
 
 : Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 Work-Life
 
 : A hybrid work policy to strike the perfect balance between office and home.
 
 
 
 Rewards
 
 : A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Specialist - Enterprise Tooling

International Turnkey Systems - ITS

<div>
 
 For a
 
 well-known Islamic Bank in Kuwait
 
 , we are hiring an AI Penetration Tester to join VMPT team and lead hands-on security testing for LLM/GenAI, ML, and AI-enabled applications (chatbots, RAG, AI agents, model APIs, and AI-assisted business workflows). The role blends traditional penetration testing + secure code review + vulnerability assessment with AI red teaming focused on modern AI risks such as prompt injection and insecure output handling as documented by OWASP&rsquo;s Top 10 for LLM Applications.
 
 
 Candidate is expected to have experience in assessing
 
 Python-based AI development and Azure AI / Azure OpenAI / Microsoft Foundry-hosted model endpoints
 
 .
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 AI / LLM penetration Testing &amp; Red Teaming
 
 
 <ul>
 <li>
 Plan and execute AI penetration tests for LLM/GenAI and ML solutions across the bank (AI apps, AI gateways, model endpoints, orchestration layers, RAG pipelines, plugins/tools).
 </li>
 <li>
 Design test cases aligned to OWASP Top 10 for LLM Applications (e.g., prompt injection, insecure output handling, sensitive info disclosure, supply-chain risks).
 </li>
 <li>
 Perform adversarial testing using threat-informed techniques and references such as MITRE ATLAS (adversary tactics/techniques for AI systems).
 </li>
 <li>
 Validate security of agentic workflows (tool invocation, function calling, permissions, memory, connectors) and verify least privilege + authorization boundaries.
 </li>
 </ul>
 
 
 Automation &amp; Tooling
 
 
 <ul>
 <li>
 Build Python-based test harnesses for repeatable AI security testing (fuzzing prompts, jailbreak suites, regression tests, evaluation scoring).
 </li>
 <li>
 Use and extend PyRIT (Python Risk Identification Tool) or equivalent frameworks to probe for jailbreaks/harms and automate adversarial scanning.
 </li>
 <li>
 Where applicable, leverage Microsoft Foundry capabilities such as the AI Red Teaming Agent (preview) that integrates PyRIT red teaming features.
 </li>
 </ul>
 
 
 Secure code review &amp; AppSec
 
 
 <ul>
 <li>
 Conduct secure code review (particularly Python) for AI application layers: prompt templates, RAG retrieval logic, output post-processing, input validation, secrets handling, authZ checks, and logging.
 </li>
 <li>
 Identify and help fix design flaws enabling data leakage, prompt manipulation, unsafe tool usage, or insecure output flows.
 </li>
 </ul>
 
 
 Traditional PT
 
 
 <ul>
 <li>
 Perform web/API/cloud penetration testing for AI-enabled applications (auth, session, API abuse, SSRF, injection, misconfigurations, secrets).
 </li>
 <li>
 Run vulnerability assessments, triage findings, define severity, and validate remediation (re-test).
 </li>
 </ul>
 
 
 
 
 
 Education and Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Cybersecurity, Software Engineering, or related discipline.
 </li>
 <li>
 3&ndash;7 years in penetration testing / application security / red teaming.
 </li>
 <li>
 Demonstrated experience testing LLM/GenAI systems (prompt injection, jailbreaks, data exfiltration patterns, agent/tool abuse).
 </li>
 <li>
 Strong hands-on Python for security automation and test harness development.
 </li>
 <li>
 Practical experience with Azure security concepts (identity, networking, secrets, logging) and exposure to Azure AI / Azure OpenAI / Foundry style deployments.
 </li>
 <li>
 Strong report writing, clear communication, ability to work with developers on remediation.
 </li>
 </ul>
 
 
 A Must Certificates (at least one)
 
 
 <ul>
 <li>
 OffSec OSCP / OSCP+
 </li>
 <li>
 GIAC GPEN
 </li>
 <li>
 Microsoft Certified: Azure Security Engineer Associate (AZ-500)
 </li>
 <li>
 ISC2 CCSP
 </li>
 </ul>
 
 
 Strongly Preferred
 
 
 <ul>
 <li>
 OffSec OSWE (advanced web exploitation / white-box testing)
 </li>
 <li>
 Burp Suite Certified Practitioner (BSCP)
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate (AI-102) (helps align with Azure AI implementation patterns).
 </li>
 </ul>
 
 
 Tools &amp; Technologies Skills
 
 
 <ul>
 <li>
 Python, Git, CI/CD integration
 </li>
 <li>
 Burp Suite, common PT toolchains (Kali, scanners, API tooling)
 </li>
 <li>
 Azure security controls (identity, key management, logging/monitoring)
 </li>
 <li>
 AI red teaming tooling (e.g., PyRIT / Foundry scans)
 </li>
 </ul>
 
 
</div>

AI Penetration Testing Specialist

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