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**Security Engineer III - AIML | Bengaluru, Karnataka, India** Lead AI security engineer required to shape cutting-edge solutions and safeguard AI, ML, and language models. Collaborate cross-functionally to incentivize security across diverse technologies and stakeholders. Key responsibilities include developing security strategies, red teaming programs, secure AI architectures, and discovery of vulnerabilities like prompt injection and data poisoning. Essential skills involve threat modeling, scripting in Python, familiarity with AI/ML concepts, and experience in infrastructure as code (IaC) solutions. Three-plus years of applied security engineering experience, along with pertinent certifications, preferred. Join JPMorgan Chase to strive, innovate, and make a genuine impact.

Compensation: Not specified
City: Bengaluru
Country: India

Full Job Description

Location: Bengaluru, Karnataka, India

Join a high-performing team shaping the future of AI security at a global leader. Make a real impact by delivering secure, innovative solutions.

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity & Technology Controls for AI/ML team, you play a pivotal role in delivering secure software solutions that prevent misuse and malicious behavior. You are responsible for implementing tamper-proof, audit-defensible methods across multiple technical areas and business functions. You collaborate closely with stakeholders to ensure adversarial resilience and drive alignment on AI risk mitigation priorities. You help foster a culture of innovation and security within a diverse, cross-functional team.

Job responsibilities

Develop and enhance security strategies, red teaming programs, and solution designs, troubleshooting technical issues and creating scalable solutions

Design secure, high-quality AI and software architectures, reviewing and challenging designs and code to ensure adversarial resilience

Reduce AI and LLM security vulnerabilities by adhering to industry standards and emerging AI safety research, evolving policies, testing protocols, and controls

Collaborate with stakeholders across product, data science, cyber, legal, and risk to understand AI use cases and recommend modifications during periods of heightened vulnerability or regulatory change

Conduct discovery, threat modeling, and adversarial testing on generative AI, RAG pipelines, and ML systems to identify vulnerabilities such as prompt injection, jailbreaking, and data poisoning

Define and implement AI red teaming methodologies, playbooks, and success metrics, establishing mechanisms for continuous testing and safe rollout of new AI models and features

Collaborate within a cross-functional team to develop relationships, influence senior stakeholders, and drive alignment on AI risk tolerance and mitigation priorities

Required qualifications, capabilities and skills

Formal training or certification on security engineering concepts and 3+ years applied experience

Experience with threat modeling, discovery, vulnerability, and penetration testing (e.g., MITRE ATLAS, OWASP Top 10 for LLMs) and foundational cybersecurity concepts such as IAM, Authentication, OIDC, SAML

Practical experience with Infrastructure as Code (IaC) solutions like Terraform and CloudFormation

Proficiency in Python scripting

Strong understanding of AI/ML concepts and trends, with knowledge of AI red teaming foundational concepts to design and implement exercises for complex AI architectures

Ability to conceptualize, design, validate, and communicate creative technical solutions to enterprise-level security problems, including building internal tools, dashboards, and automation for red teaming activities

Preferred qualifications, capabilities and skills

Expertise in planning, designing, and implementing AI red teaming exercises and enterprise-level security solutions for generative AI, LLMs, and ML systems

Experience with specialized AI security/red teaming tools and frameworks (e.g., PyRIT, Garak, custom LLM evaluation harnesses) and contributions to AI security or open-source security projects

Lead AI Security Engineer specializing in red teaming and secure enterprise solutions for generative AI and ML systems.

Full Job Description

Location: Bengaluru, Karnataka, India

Join a high-performing team shaping the future of AI security at a global leader. Make a real impact by delivering secure, innovative solutions.

Job responsibilities

Develop and enhance security strategies, red teaming programs, and solution designs, troubleshooting technical issues and creating scalable solutions

Design secure, high-quality AI and software architectures, reviewing and challenging designs and code to ensure adversarial resilience

Reduce AI and LLM security vulnerabilities by adhering to industry standards and emerging AI safety research, evolving policies, testing protocols, and controls

Conduct discovery, threat modeling, and adversarial testing on generative AI, RAG pipelines, and ML systems to identify vulnerabilities such as prompt injection, jailbreaking, and data poisoning

Define and implement AI red teaming methodologies, playbooks, and success metrics, establishing mechanisms for continuous testing and safe rollout of new AI models and features

Collaborate within a cross-functional team to develop relationships, influence senior stakeholders, and drive alignment on AI risk tolerance and mitigation priorities

Required qualifications, capabilities and skills

Formal training or certification on security engineering concepts and 3+ years applied experience

Practical experience with Infrastructure as Code (IaC) solutions like Terraform and CloudFormation

Proficiency in Python scripting

Strong understanding of AI/ML concepts and trends, with knowledge of AI red teaming foundational concepts to design and implement exercises for complex AI architectures

Preferred qualifications, capabilities and skills

Expertise in planning, designing, and implementing AI red teaming exercises and enterprise-level security solutions for generative AI, LLMs, and ML systems

Experience with specialized AI security/red teaming tools and frameworks (e.g., PyRIT, Garak, custom LLM evaluation harnesses) and contributions to AI security or open-source security projects

Lead AI Security Engineer specializing in red teaming and secure enterprise solutions for generative AI and ML systems.

Security Engineer III - AIML

Full Job Description

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