8.0 - 12.0 years

0 Lacs

karnataka

On-site

As the Product Security Leader at Observe.AI, you will play a crucial role in securing our application platform, cloud infrastructure, and IT systems to ensure compliance with various standards and regulations. Working in a dynamic high-tech environment focused on enhancing customer experience through innovative Voice AI solutions, your responsibilities will include shifting security left in the Software Development Life Cycle (SDLC) for cutting-edge Agentic AI and ML-based products. You will lead the product security program, mentor other engineers, define and drive the secure SDLC, conduct threat modeling, and participate in product requirement discussions to influence designs. Your expertise in traditional application security and emerging AI safety practices will be essential in creating AI-specific security controls, addressing unique challenges, and embedding security by design across the entire development lifecycle. Key Responsibilities: - Lead the product security program and mentor other engineers - Define and implement the secure SDLC, including threat modeling and security testing - Participate in product requirement discussions and influence designs - Create scalable application security using secure coding standards and procedures - Integrate dev-sec-ops tooling and shift security left in the development process - Build relationships with Product and Engineering teams to enhance security culture - Ensure products adhere to security standards and incorporate security controls into the SDLC - Develop custom tools and automation for DevSecOps and SecOps - Manage penetration testing program and bug bounty programs - Evaluate and integrate security tools to improve application security posture Qualifications: - 8+ years of hands-on experience in managing application security programs - Strong foundation in security architecture, protocols, and vulnerabilities - Familiarity with secure coding standards, cryptography, and programming languages - Experience with AWS or cloud environments - Strong attention to detail and ability to prioritize automation - Growth mindset and accountability under minimal supervision In addition to a challenging and rewarding role, Observe.AI offers excellent medical insurance, flexible benefit plans, generous leave policies, learning & development opportunities, and a commitment to fostering an inclusive and diverse work culture. If you are passionate about making an impact and shaping the future of AI-driven customer experience, we encourage you to apply and join our team at Observe.AI.,

Posted 3 days ago

Apply

AVP /Senior Manager Technical Lead AI Security with a Private Bank Riverforest Connections

9.0 - 14.0 years

25 - 40 Lacs

Navi Mumbai

Hybrid

Role Overview Bank is hiring a Technical Lead AI Security to join our CISO team in Mumbai. This is a critical, hands-on role ensuring the trustworthiness, resilience, and compliance of AI/ML systems, including large language models (LLMs). You will work at the intersection of cybersecurity and AI, shaping secure testing, understanding secure MLOps/LLMOps workflows, and leading technical implementation of defenses against emerging AI threats. This role requires both strategic vision and strong engineering depth. Key Responsibilities Lead and operationalize the AI/ML and LLM security roadmap across training, validation, deployment, and runtime to enable AI Security Platform Approach. Design and implement defenses against threats like adversarial attacks, data poisoning, model inversion, prompt injection, and fine-tuning exploits using industry leading open source and commercial tools. Build hardened workflows for model security, integrity verification, and auditability in production AI environments. Leverage AI security tools for scanning, fuzzing, and penetration testing models. Apply best practices from OWASP Top 10 for ML/LLMs, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001 to test AI/ML assets. Ensure AI model security testing framework aligns with internal policy, national regulatory requirements, and global best practices. Plan and execute security tests for AI/LLM systems, including jailbreaking, RAG hardening, and bias/toxicity validation. Required Skills & Experience 8+ years in cybersecurity, with at least 3+ years hands-on in AI/ML security or secure MLOps/LLMOps Proficient in Python, TensorFlow/PyTorch, HuggingFace, LangChain, and common data science libraries Deep understanding of adversarial ML/LLM, model evaluation under threat conditions, and inference/training-time attack vectors Experience securing cloud-based AI workloads (AWS, Azure, or GCP) Familiarity with secure DevOps and CI/CD practices Strong understanding of AI-specific threat models (MITRE ATLAS) and security benchmarks (OWASP Top 10 for ML/LLMs) Ability to communicate technical risk clearly to non-technical stakeholders Ability to guide developers and data scientists to solve the AI Security risks. Certifications: CISSP, OSCP, GCP ML Security, or relevant AI/ML certificates Experience with AI security tools or platforms (e.g., model registries, lineage tracking, policy enforcement) Experience with RAG, LLM-based agents, or agentic workflows Experience in regulated sectors (finance, public sector)

Posted 3 weeks ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.