AI Security Full Stack Engineering Manager

This is a fully remote position, open to applicants in India.

📋 Description

• Design, construct, and manage security features for AI and generative AI platforms.

• Create services, APIs, and workflows that automate the detection of AI risks, enforcement of policies, and validation of compliance.

• Integrate enterprise AI security technologies and frameworks into the workflows of developers and platform engineers.

• Facilitate secure AI operations throughout model development, deployment, and monitoring phases.

• Design and develop secure web applications, dashboards, APIs, and backend services.

• Incorporate security controls into frontend, backend, and API layers.

• Implement authentication, authorization, and access control utilizing OAuth 2.0, OpenID Connect, and JWT.

• Create reusable services, SDKs, and APIs that promote secure-by-design practices.

• Design and implement secure cloud-native architectures across Azure, Google Cloud Platform, and Amazon Web Services.

• Develop and secure containerized and serverless applications using Kubernetes and cloud-native technologies.

• Implement Infrastructure as Code with Terraform and embed security controls into cloud provisioning.

• Develop automation processes to identify, prioritize, and address AI security risks.

• Integrate security controls within CI/CD pipelines, including code scanning, infrastructure scanning, secrets detection, and policy validation.

• Create observability solutions that include logs, metrics, traces, monitoring, and alerting for AI platforms.

• Implement controls to tackle prompt injection, sensitive data exposure, model misuse, and adversarial attacks.

• Conduct AI threat modeling and security architecture evaluations.

• Collaborate with security operations teams to enhance detection, monitoring, and response capabilities for AI systems.

• Assess emerging AI security technologies and encourage their adoption.

• Lead, mentor, and nurture a high-performing AI security engineering team.

• Define technical roadmaps, architectural standards, and engineering best practices.

• Prioritize product capabilities based on business impact, risk mitigation, and customer requirements.

• Promote engineering excellence through design and code reviews, as well as operational accountability.

• Deliver secure and scalable AI security platform capabilities, automated risk detection and policy enforcement, observability, CI/CD security controls, reusable APIs/SDKs, and a high-performing engineering team.

⛳️ Requirements

• Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field, or equivalent experience.

• Over 10 years of experience in software engineering, cybersecurity, platform engineering, or relevant fields.

• More than 3 years of experience securing AI/ML, generative AI, or data-driven platforms.

• Experience in leading engineering teams and delivering enterprise-scale technology solutions.

• Strong practical development experience with Python and at least one modern backend technology: Node.js, Java, or Go.

• Experience in building RESTful APIs and microservices.

• Proficiency in modern frontend frameworks such as React, Angular, or Vue.

• Solid understanding of secure application development practices.

• Experience with Azure, GCP, or AWS.

• Strong comprehension of Kubernetes, container security, and cloud-native architectures.

• Experience with Infrastructure as Code, preferably Terraform.

• Familiarity with CI/CD pipelines and Git-based development workflows.

• In-depth knowledge of application security principles and OWASP standards.

• Experience with API security, Identity and Access Management (IAM), encryption, and secrets management.

• Strong understanding of threat modeling, security monitoring, and incident response.

• Knowledge of generative AI and large language model (LLM) security risks.

• Experience with prompt injection mitigation, data protection, model governance, and AI threat modeling.

• Familiarity with AI security frameworks, controls, and secure AI deployment practices.

🏝️ Benefits

• No benefits, perks, or compensation extras are specified in the posting.