Senior AI Security Engineer

We are seeking a highly motivated and skilled AI Security Engineer to join our Security team. In this role, you will be crucial in safeguarding our AI systems, ensuring they meet the highest security, compliance, and risk management standards. You'll work closely with AI delivery teams and our CTO organization to secure both internal and customer-facing AI solutions.

Essential functions

• Guide developers and ML engineers in secure design, coding, and deployment practices for AI models and pipelines.

• Conduct security testing of AI solutions, focusing on AI-specific vulnerabilities (e.g., adversarial robustness, model extraction, data leakage) and general security issues (e.g., exposed APIs, insecure data flows).

• Contribute to secure MLOps practices, including safe model training, validation, deployment, and monitoring.

• Evaluate and harden the attack surface of AI APIs, data pipelines, and inference endpoints.

• Assist in monitoring for AI-specific threats (e.g., model poisoning, data leakage, prompt injection).

• Investigate security incidents involving AI services and contribute to root cause analysis and future prevention.

• Collaborate with the SOC and affected system developers/stakeholders on AI-related incident management and reporting.

• Develop and maintain internal standards and playbooks for AI security.

• Support the implementation of tools for AI model explainability, fairness auditing, and data provenance tracking.

• Assist in training developers and data scientists on the Secure AI Development Lifecycle (Secure-AI-SDLC).

Qualifications

• Proven experience in AI/ML environments, including frameworks such as TensorFlow, PyTorch, and scikit-learn.

• A deep understanding of AI-specific security concerns like model inversion, adversarial inputs, data poisoning, and model theft.

• Experience securing cloud-based AI services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).

• Experience conducting AI-specific security testing, such as adversarial testing, model behavior analysis under attack, and input fuzzing.

• Familiarity with AI observability and monitoring tools.

• Knowledge of secure data handling and privacy-preserving ML techniques (e.g., differential privacy, federated learning).

  
  

We offer

• Opportunity to work on bleeding-edge projects

• Work with a highly motivated and dedicated team

• Competitive salary

• Flexible schedule

• Benefits package - medical insurance, sports

• Corporate social events

• Professional development opportunities

• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.