11 Ai Security Jobs

As the Product Security Leader at Observe.AI, you will play a crucial role in securing our application platform, cloud infrastructure, and IT systems to ensure compliance with various standards and regulations. Working in a dynamic high-tech environment focused on enhancing customer experience through innovative Voice AI solutions, your responsibilities will include shifting security left in the Software Development Life Cycle (SDLC) for cutting-edge Agentic AI and ML-based products. You will lead the product security program, mentor other engineers, define and drive the secure SDLC, conduct threat modeling, and participate in product requirement discussions to influence designs. Your expertise in traditional application security and emerging AI safety practices will be essential in creating AI-specific security controls, addressing unique challenges, and embedding security by design across the entire development lifecycle. Key Responsibilities: - Lead the product security program and mentor other engineers - Define and implement the secure SDLC, including threat modeling and security testing - Participate in product requirement discussions and influence designs - Create scalable application security using secure coding standards and procedures - Integrate dev-sec-ops tooling and shift security left in the development process - Build relationships with Product and Engineering teams to enhance security culture - Ensure products adhere to security standards and incorporate security controls into the SDLC - Develop custom tools and automation for DevSecOps and SecOps - Manage penetration testing program and bug bounty programs - Evaluate and integrate security tools to improve application security posture Qualifications: - 8+ years of hands-on experience in managing application security programs - Strong foundation in security architecture, protocols, and vulnerabilities - Familiarity with secure coding standards, cryptography, and programming languages - Experience with AWS or cloud environments - Strong attention to detail and ability to prioritize automation - Growth mindset and accountability under minimal supervision In addition to a challenging and rewarding role, Observe.AI offers excellent medical insurance, flexible benefit plans, generous leave policies, learning & development opportunities, and a commitment to fostering an inclusive and diverse work culture. If you are passionate about making an impact and shaping the future of AI-driven customer experience, we encourage you to apply and join our team at Observe.AI.,

The company strongly believes in conducting business based on core values such as Inclusion, Innovation, Collaboration, and Wellness. These values guide the daily operations and ensure a cohesive global team approach with customers at the forefront. Prioritizing self-care, mutual support, and community engagement is central to our work ethos. As a Security Architect specializing in AI systems, data, and machine learning models, your responsibilities will include developing security architectures to safeguard data, ensure model integrity, and comply with regulations. You will conduct thorough research and threat modeling to identify vulnerabilities and risks associated with machine learning models and data. Establishing and upholding security standards, procedures, and guidelines pertaining to AI usage will be a key aspect of your role. Conducting security risk assessments for AI projects, pinpointing vulnerabilities in algorithms, data pipelines, and infrastructure, will be essential. You will evaluate data workflows for AI initiatives, focusing on aspects like data encryption, anonymization, and secure storage. Collaborating closely with AI/ML engineers, data scientists, and cybersecurity teams to embed security controls across the AI development lifecycle is crucial. Assessing third-party AI tools and vendors for security risks and compliance requirements is also part of your responsibilities. Implementing secure coding practices for AI models and conducting reviews to identify potential security risks like adversarial attacks or data poisoning will be vital. Staying abreast of the latest AI and cybersecurity trends to ensure ongoing protection against emerging threats is expected. Moreover, you will lead the development of novel algorithms and techniques to secure AI models, guaranteeing the integrity, confidentiality, and availability of AI systems. Your role will be instrumental in enhancing the security posture of AI initiatives within the organization. For further insights into our culture and community, please visit https://about.pypl.com/who-we-are/default.aspx. We are committed to fostering diversity and inclusion in our workforce. To explore opportunities that match your skills, we invite you to join our Talent Community. We acknowledge the challenges posed by the confidence gap and imposter syndrome and encourage all qualified candidates to apply without hesitation. REQ ID: R0122578,

You re at the forefront of delivering secure software solutions. Join us a valued member of a top-performing team. As a Security Engineer II at JPMorgan Chase within the Cybersecurity Tech controls team, you are part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As an emerging member of the security engineering team, you execute basic software solutions through the design, development, and troubleshooting of multiple components within a technical area, while gaining skills and experience to grow within your role. Job responsibilities Conducts AI red teaming exercises and security inference testing on traditional AI/ML models and LLMs to simulate adversarial attacks and test system resilience. Ensures the security of AI and Machine Learning systems through comprehensive testing. Executes creative security solutions, including design, development, and technical troubleshooting. Thinks beyond routine or conventional approaches to build solutions and solve technical problems. Develops secure and high-quality production code, and reviews and debugs code written by others. Collaborates with stakeholders and business leaders to understand and address security needs. Contributes to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on Security engineering concepts and 2+ years applied experience Hands on with Java, Spring and Spring Boot frameworks Experience in MySQL and SQL, capable of writing and maintaining stored procedures Experience in microservices architecture and API security. Skilled in using specialized tools, such as vulnerability scanners, for analyzing incident data. Holds a solid understanding of cloud computing concepts, including AWS or other cloud platforms, and container orchestration tools. Preferred qualifications, capabilities, and skills Familiar with Python, demonstrates extensive Java coding and development expertise, with proficiency in coding in one or more additional programming. Familiar about AI system threats, attack surfaces, and security controls throughout the MDLC. Certifications in cloud security or AI/ML security.

Role & responsibilities Overall - At least 8+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services 3+ years of experience auditing existing AI or machine learning systems for security risks and compliance. Development and implementation of AI content filtering mechanisms. Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems. Identification and protection of sensitive data within AI solutions. Design and implementation of strategies to protect AI systems from cyber-attacks. Design and implementation of adversarial test plans. Strong analytical and problem-solving skills Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner. A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development. Ability to work both independently and as part of a team in a fast-paced, dynamic environment. Flexible to provide coverage in US morning hours on a need-basis, and as required Preferred candidate profile Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity. Industry certifications such as CISSP, SANS and/or other relevant certifications Experience designing, developing, and deploying secure AI systems. Training in secure coding standards and best practices for AI-related projects. Knowledge of ethical hacking techniques. Ability to develop security protocols and policies. Excellent communication, problem-solving, and analytical skills. Ability to work independently and as part of a team.

As the Cybersecurity Program Delivery Director, you will play a pivotal role in coordinating the planning, execution, and delivery of key cybersecurity projects and programs on a global scale. You will work closely with technical teams, security experts, and various stakeholders to ensure that critical security initiatives are implemented effectively and in alignment with corporate strategies. Your responsibilities will span across program portfolio management, global delivery and execution, governance, risk, and compliance (GRC), team coordination, budget control, and technical strategy support. You will be tasked with managing a diverse portfolio of cybersecurity projects, encompassing new technology deployments, risk mitigation, policy updates, and compliance enhancements. It will be your responsibility to establish project goals, timelines, and budgets, while also overseeing cross-regional resource integration and priority management. Additionally, you will ensure the quality and timely delivery of key security projects, manage external suppliers and service providers, and establish standardized delivery processes to drive global project replication capabilities. Collaboration with compliance, legal, and audit teams will be essential to ensure that all projects adhere to relevant regulations and standards such as GDPR, ISO 27001, and NIST. You will lead a global team of project managers, security architects, and business analysts, fostering open communication with senior management, IT, Security Operations Center (SOC), and regional heads. Regular reporting on project progress and key risks to the CISO and senior management will be a key aspect of your role. Your background should include a Bachelor's degree or above in information security, computer science, engineering, or related fields, with a preference for a Master's/MBA. You should possess more than 10 years of experience in information security or project delivery, including over 5 years in cross-border security project management. Proficiency in project management frameworks such as PMP, PRINCE2, and agile delivery methods like Scrum/SAFe is required. Familiarity with information security frameworks and technologies such as NIST, CIS Controls, SOC, IAM, SIEM, XDR, and SASE is crucial, along with certifications like CISSP, CISM, and PMP being preferred. Your leadership skills, cross-cultural communication abilities, and global vision will be essential for this role. You should be comfortable with remote management across different time zones and occasional international travel. Keeping abreast of security technology trends and providing strategic investment recommendations will also be part of your responsibilities. Your contribution to cybersecurity budget formulation, resource allocation, and technology roadmap adjustments will ensure the maximum safety benefits of project investments.,

Role Overview: We are seeking a highly skilled Information Security Specialist to join our team. The ideal candidate will have extensive experience in addressing client queries related to product security, AI security, and cloud security (AWS and Azure) . This role requires a proactive approach to identifying and mitigating security risks , as well as excellent communication skills to effectively interact with clients. Key Responsibilities: Good and detailed understanding of Azure and AWS services provisioning, architecture and security recommendations Respond to client queries regarding product security, AI security, and cloud security (AWS and Azure). Develop and implement security policies, protocols, and procedures. Conduct regular security audits and assessments to identify vulnerabilities. Collaborate with the product development team to ensure security best practices are integrated into the product lifecycle. Monitor and analyze security incidents to determine root causes and implement corrective actions. Stay updated with the latest security trends, threats, and technologies. Provide training and guidance to internal teams on security best practices. Co-ordinate with internal InfoSec team for timely deliverables, as required Hands-On experience for Azure and AWS Cloud services and application end -to-end provisioning on Cloud. Key Performance Indicators (KPIs): Client Query Response Time: Ensure all client queries related to security are addressed within 24 hours. Incident Resolution Time: Resolve security incidents within the defined SLA (Service Level Agreement). Security Audit Compliance: Achieve a compliance rate of 95% or higher in all security audits. Client Satisfaction: Maintain a client satisfaction score of 90% or higher for security-related queries and support. Training Effectiveness: Conduct quarterly security training sessions with an average feedback score of 4.5/5. Cloud Architecture: Ensure secure hosting of product at Cloud Environment. Qualifications: Bachelor's degree in computer science, Information Technology, or a related field. Minimum of 10-15 years of experience in information security, with a focus on AI security and cloud security (AWS and Azure). Relevant certifications such as CISSP, CISM, or AWS Certified Security Specialty. Strong understanding of security frameworks and standards (e.g., ISO 27001,NIST). Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Nice to have Exposure to financial research domain Industry recognized certification programs on Data Management/Cloud etc. » Experience with JIRA, Confluence » Understanding of scrum and Agile methodologies » Experience with data visualization tools, such as Grafana, GGplot, etc. Soft skills » Oral and written communication skills » Good problem solving and negotiation skills » Intellectual curiosity to find new and unusual ways of how to solve data management issues. » Passionate about the work and attention to detail

Role Overview Bank is hiring a Technical Lead AI Security to join our CISO team in Mumbai. This is a critical, hands-on role ensuring the trustworthiness, resilience, and compliance of AI/ML systems, including large language models (LLMs). You will work at the intersection of cybersecurity and AI, shaping secure testing, understanding secure MLOps/LLMOps workflows, and leading technical implementation of defenses against emerging AI threats. This role requires both strategic vision and strong engineering depth. Key Responsibilities Lead and operationalize the AI/ML and LLM security roadmap across training, validation, deployment, and runtime to enable AI Security Platform Approach. Design and implement defenses against threats like adversarial attacks, data poisoning, model inversion, prompt injection, and fine-tuning exploits using industry leading open source and commercial tools. Build hardened workflows for model security, integrity verification, and auditability in production AI environments. Leverage AI security tools for scanning, fuzzing, and penetration testing models. Apply best practices from OWASP Top 10 for ML/LLMs, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001 to test AI/ML assets. Ensure AI model security testing framework aligns with internal policy, national regulatory requirements, and global best practices. Plan and execute security tests for AI/LLM systems, including jailbreaking, RAG hardening, and bias/toxicity validation. Required Skills & Experience 8+ years in cybersecurity, with at least 3+ years hands-on in AI/ML security or secure MLOps/LLMOps Proficient in Python, TensorFlow/PyTorch, HuggingFace, LangChain, and common data science libraries Deep understanding of adversarial ML/LLM, model evaluation under threat conditions, and inference/training-time attack vectors Experience securing cloud-based AI workloads (AWS, Azure, or GCP) Familiarity with secure DevOps and CI/CD practices Strong understanding of AI-specific threat models (MITRE ATLAS) and security benchmarks (OWASP Top 10 for ML/LLMs) Ability to communicate technical risk clearly to non-technical stakeholders Ability to guide developers and data scientists to solve the AI Security risks. Certifications: CISSP, OSCP, GCP ML Security, or relevant AI/ML certificates Experience with AI security tools or platforms (e.g., model registries, lineage tracking, policy enforcement) Experience with RAG, LLM-based agents, or agentic workflows Experience in regulated sectors (finance, public sector)

VFX AI is building the next-generation AI-native video platform for enterprises and creators. Our platform enables users to upload, edit, enhance, and intelligently analyze video/audio through advanced AI agents. We support multi-tenant workspaces, enterprise-grade access control, and integrations like SSO, SCIM, and AI-powered video intelligence. Were preparing for SOC 2 Type II and GDPR compliance and are seeking an experienced Penetration Tester to identify and help resolve potential vulnerabilities in our system. Responsibilities: Conduct black-box and gray-box penetration testing of our: Web application (Next.js) REST and GraphQL APIs (FastAPI + NestJS) File upload and media pipelines Cloud infrastructure (AWS: S3, EC2, RDS, Redis, VPC) SSO, SCIM, and RBAC access control flows Simulate real-world attack scenarios to uncover: OWASP Top 10 vulnerabilities Multi-tenant access control issues AI/ML injection or misuse pathways Storage or media-processing vulnerabilities Analyze security of AI agent orchestration endpoints and 3rd-party integrations (e.g., TwelveLabs) Identify misconfigurations in IAM roles, S3 bucket policies , and cloud networking Produce detailed technical reports with: Vulnerability descriptions CVSS severity scores Reproduction steps and recommended mitigations Collaborate with engineering teams to validate and prioritize fixes Optionally provide a SOC 2-aligned attestation letter and retesting Required Qualification: 3+ years of hands-on penetration testing experience. Deep understanding of: Web & API security (OWASP Top 10, JWT, CSRF, SSRF, IDOR) AWS security (IAM, S3, EC2, VPC, Secrets Manager) Multi-tenant architecture and RBAC testing File upload, MIME spoofing, and media injection risks Experience with: Pen testing tools (Burp Suite, Postman, Nmap, Trivy, AWS Inspector) Exploiting authentication systems (SSO, SCIM, OAuth, OIDC) Familiarity with AI/ML threat vectors (prompt injection, model abuse) Ability to document findings clearly for technical and non-technical stakeholders Optional: SOC 2 or ISO 27001 audit collaboration experience Preferred Certifications: OSCP, OSWE, CEH, CREST, or equivalent AWS Security Specialty (a plus) What We Offer What We Offer: Opportunity to shape the security posture of a fast-growing AI SaaS product Potential long-term security consulting engagement post-test Access to our engineering and DevSecOps team for collaboration.

Role & responsibilities • Provide expert consultancy and guidance for AI and cyber security, with a focus on implementing robust security measures. • Advise on the deployment of security guardrails for Generative AI applications. • Advise on AI ethics and ensure compliance with industry standards. • Conduct risk assessments and provide recommendations on improving security posture. • Collaborate with cross-functional teams to integrate AI security solutions. • Deliver training sessions on AI security best practices and tools. • Assist in the development of security policies and procedures. • Stay updated with the latest trends and advancements in AI and cyber security. Preferred candidate profile • Minimum 3 years of experience in AI consultancy or 5-10 years in DEVSECOPS. • Proven track record in cyber consultancy. • AIGP or similar certification. • Cloud security certifications are mandatory. • Certified AI security engineer or proven experience in AI security. • Strong understanding of AI ethics. • Experience in deploying security measures for Generative AI. • Relevant technical and non-technical certifications/memberships in cyber security. • Experience in AI within financial services, particularly corporate banking. • Excellent communication and teamwork skills. • Trainer skillsets.

Expected Role: Security engineering, security architect, manual security code review, threat modeling, cloud security, application security, product security. Proven experience in cybersecurity with a focus on Cloud security, microservices & API Security, AI security, and Zero Trust Architecture. Proficiency in threat modeling and risk assessments across various domains such as AI, Cloud, Network, Infrastructure, and applications. Expertise in security and network architecture, particularly in securing microservices, APIs & cloud native applications. In-depth experience with securing the SDLC, performing secure code reviews, and analyzing penetration testing reports. Proven track record of enhancing cloud security posture and implementing robust controls. Ability to evaluate and recommend mitigation strategies based on penetration testing and threat analysis. Excellent stakeholder management and communication skills. Ability to work independently, lead projects, and mentor junior team members. Bachelors or masters degree in Cybersecurity, Computer Science, Information Technology, or a related field. Strong knowledge of NIST frameworks (including NIST Cybersecurity Framework, NIST 800-53, NIST RMF), COBIT, ISO/IEC 27001, ISO/IEC 42001 and PCI DSS. Pursue relevant certifications such as CISSP, CCSP, CISM, CISA, CEH, Security+ or industry-specific certifications to enhance cybersecurity proficiency and credibility.

JOB DESCRIPTION: We are looking for a research manager wholl oversee the development of our AI cybersecurity technologies such as mis/dis/mal-information detection/countermeasures, cognitive security, Security by/for AI. The manager also needs to be able to build an ecosystem that works with multiple user organizations and drive efforts to demonstrate the effectiveness of the developed technologies. We value individuals with a vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. A self-driven nature, creativity, strong communication skills, and attention to detail, are traits of a successful researcher in this role. Your role will involve the following: Conducting research on one or more of the following technologies: 1. Mis/dis/mal-information detection/countermeasure 2. Cognitive security 3. Security by/for AI Promoting and implementing trials with user organizations utilizing developed technologies in cooperation with internal and external divisions Conducting experiments and data analysis to evaluate the effectiveness of research findings on simulations and real applications Publishing findings in renowned scientific journals and conferences, while also showcasing achievements through presentations at invited talks, conferences, and workshops Integrating various stages of technologies, from early stage in-house-developed to commercially available software, to realize impactful solutions Fostering collaboration across interdisciplinary teams, including esteemed professors, to propel research endeavors forward Managing and leading a team including 4-5 researchers REQUIRED SKILLS: Ph.D. or similar post-graduate qualification in computer science or related field or equivalent research Proven experience in Machine Learning, Artificial Intelligence, Deep Learning models, especially Generative AI (Hands-on experience with Large Language Models or Diffusion Models advantage) A passion for cyber security and Anti-disinformation Proficiency in Python/PyTorch and popular data science libraries Good research track record and publications in top-tier conferences and journals Experience in leading research collaboration projects with tangible outcomes. Able to propose research topics by exploring potential future business opportunities. Excellent oral and written communication skills. Experience (>3 years) in managing a research team Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions Experience in integrating multiple technologies from multiple research domains, including AI, security and network Designing and prototyping applications combining a variety of tools and platforms Experience in machine learning programming written in Python and/or web frontend programming written in TypeScript Experience in interdisciplinary research collaborations