Staff - Security Architecture

**Company Description**
Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

**There’s another option. Freshworks. With a fresh vision for how the world works.**

At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.

**_ Fresh vision. Real impact. Come build it with us._**

Key Responsibilities

Secure AI Model Development
- Partner with AI/ML teams to embed security into the model development lifecycle, including during data collection, model training, evaluation, and deployment.
- Contribute to threat modeling exercises for AI/ML pipelines to identify risks such as model poisoning, data leakage, or adversarial input attacks.
- Support the evaluation and implementation of model explainability, fairness, and accountability techniques to address security and compliance concerns.
- Develop and train internal models for security purposes

Model Training & Dataset Security
- Help design controls to ensure the integrity and confidentiality of training datasets, including the use of differential privacy, data validation pipelines, and access controls.
- Assist in implementing secure storage and version control practices for datasets and model artifacts.
- Evaluate training environments for exposure to risks such as unauthorized data access, insecure third-party libraries, or compromised containers.

AI Infrastructure Hardening
- Work with infrastructure and MLOps teams to secure AI platforms (e.g., MLFlow, Kubeflow, SageMaker, Vertex AI) including compute resources, APIs, CI/CD pipelines, and model registries.
- Contribute to security reviews of AI-related deployments in cloud and on-prem environments.
- Assist in automating security checks in AI pipelines, such as scanning for secrets, validating container images, and enforcing secure permissions.

Secure AI Integration in Products
- Participate in the review and assessment of AI/ML models embedded into customer-facing products to ensure they comply with internal security and responsible AI guidelines.
- Help develop misuse detection and monitoring strategies to identify model abuse (e.g., prompt injection, data extraction, hallucination exploitation).
- Support product security teams in designing guardrails and sandboxing techniques for generative AI features (e.g., chatbots, image generators, copilots).

Knowledge Sharing & Enablement
- Assist in creating internal training and security guidance for data scientists, engineers, and developers on secure AI practices.
- Help maintain documentation, runbooks, and security checklists specific to AI/ML workloads.
- Stay current on emerging AI security threats, industry trends, and tools; contribute to internal knowledge sharing.

**Qualifications**
- 3-4 years of experience in LLM and 7-10 years of experience in cybersecurity, machine learning, or related fields.
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps tools (e.g., MLFlow, Airflow, Kubernetes).
- Familiarity with AI models and Supplychain risks
- Understanding of common AI/ML security threats and mitigations (e.g., model inversion, adversarial examples, data poisoning).
- Experience working with cloud environments (AWS, GCP, Azure) and securing workloads.
- Some knowledge of responsible AI principles, privacy-preserving ML, or AI compliance frameworks is a plus.

Soft Skills
- Strong communication skills to collaborate across engineering, data science, and product teams.
- A continuous learning mindset and willingness to grow in both AI and security domains.
- Problem-solving approach with a focus on practical, scalable solutions.

**Additional Information**

At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.