Experience
10 - 15 yrs
Job Location
Kolkata, India
Vacancy
1
Designation
AI Engineer
Job Type
Not specified
Job Description
What You\ll Do
- Develop, implement, and maintain secure AI systems, with a focus on integrating security from the ground up.
- Develop algorithms and build predictive models that incorporate robust security measures.
- Preprocess data, ensuring the quality, accuracy, and security of data fed into models, including protection against data poisoning.
- Deploy and maintain AI models in production with secure configurations and continuous monitoring.
- Transform machine learning models into APIs that can be integrated with other applications, ensuring secure API design and implementation.
- Collaborate with Data Engineers to build and manage secure data pipelines for AI\/ML workflows, adhering to "Zero Trust Security" principles.
- Work with AI Architects to ensure AI solutions meet business requirements, quality attributes, and stringent security standards.
- Implement and maintain the Trust Engine ("Trust by Design") framework within our AI stack, specifically focusing on:
- Deception Detection : Develop and integrate built\-in detection mechanisms for hallucinations, adversarial prompts, and policy violations within AI models.
- Zero Trust Security: Ensure every agent, connector, and workflow operates under least\-privilege principles, with full audit trails for all operations.
- Human\-in\-the\-Loop: Design and implement mechanisms for escalation, approval, and override at every step of AI workflows, by default.
- Auditability & Forensics: Guarantee that every action, decision, and data flow is logged, explainable, and traceable for forensic analysis.
- Compliance Packs: Develop and integrate industry\-specific modules for regulatory compliance (e.g., HIPAA, PCI, etc.) into the AI systems.
- Responsible AI: Establish and enforce Responsible AI (RAI) guardrails, ensure explainability of AI decisions, and implement continuous monitoring for ethical and fair AI operation.
RequirementsWhat you\ll Bring
- 10+ years of applicable experience with building secure AI\/ML solutions for large Enterprises.
- Hands\-on experience in lead roles architecting secure solutions at scale for cloud data platforms.
- Hands\-on experience architecting and building secure, scalable, and flexible enterprise data projects in Azure, AWS or GCP.
- Strong governance and security management experience is required, especially in the context of AI\/ML systems.
- Effective communication skills (verbal, written, presentation\/public speaking).
- Strong analytical and problem\-solving skills, with a focus on security challenges in AI.
- Ability to work effectively with international and multicultural teams and with all levels of management.
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