Lead Security Engineer – Quantum Cryptography & AI Security, HSBC

HSBC

Location:
India, Pune ▼
Hyderabad
Bangalore

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

HSBC is seeking an experienced professional for the role of Lead Security Engineer – Quantum Cryptography & AI Security. The role focuses on development and integration of quantum-safe cryptographic solutions, defending AI systems, and implementing security measures throughout the AI lifecycle.

Job Responsibility:

Architect, develop, and deploy quantum-safe encryption schemes and protocols into existing systems
Integrate solutions based on cutting-edge post quantum algorithms
Evaluate emerging PQC algorithms and support the transition from conventional to quantum resistant cryptography in alignment with the NIST PQC standardization process
Collaborate with development teams to integrate quantum key distribution (QKD) protocols (e.g., BB84, E91, decoy state methods) and utilize quantum random number generators for high entropy key generation
Develop simulation and testing environments using quantum computing frameworks such as IBM Qiskit, Google Cirq, or Rigetti Forest, and implement cryptographic libraries (e.g., liboqs) for PQC algorithms
Conduct security reviews and penetration testing of AI/ML systems, with a particular focus on defending against adversarial attacks such as prompt injection, data poisoning, and model extraction
Collaborate with MLOps teams to integrate security best practices into the AI lifecycle—from data ingestion and model training to deployment and monitoring
Implement and evaluate adversarial machine learning techniques, including adversarial training, robust optimization, and the use of frameworks like CleverHans or Foolbox
Deploy tools for continuous monitoring of AI model performance (model drift, bias, and accuracy degradation) and utilize explainability methods (LIME, SHAP) to ensure transparency and security
Implement automated security testing (including static and dynamic analysis) within CI/CD pipelines for both traditional software and AI models
Promote secure coding practices across full stack development efforts and perform thorough code reviews
Conduct end to end penetration testing and threat modeling to ensure robust defenses against evolving attack vectors.

Requirements:

Minimum 5 years of hands on experience in information security engineering, with a strong focus on implementing quantum safe cryptography and securing AI/ML systems
Proven experience in secure coding, DevSecOps practices, penetration testing, and vulnerability assessments in highly regulated environments (preferably in the financial sector)
Demonstrated track record in integrating advanced cryptographic solutions and defending AI systems against adversarial threats
Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Electrical Engineering, or a related field
Industry certifications such as CISSP, CEH, OSCP, or equivalent
Specialized training or certifications in quantum cryptography (e.g., courses on post quantum cryptographic algorithms) and AI security (e.g., adversarial machine learning courses) are highly desirable
Deep Understanding of QKD Protocols: Expertise in designing and implementing quantum key distribution protocols (BB84, E91, decoy state, etc.)
Proficiency in algorithms such as lattice based (e.g., NTRU, FrodoKEM), hash based, code based, and multivariate cryptography
Experience with quantum simulation platforms (IBM Qiskit, Google Cirq, Rigetti Forest) and cryptographic libraries (e.g., liboqs)
Familiarity with quantum random number generators, quantum state preparation, and measurement techniques
Knowledge of the NIST PQC standardization process, including security proofs and algorithm performance evaluation
Advanced proficiency with TensorFlow, PyTorch, and scikit learn
strong Python programming skills
Experience implementing adversarial attack and defense techniques (e.g., FGSM, PGD, DeepFool) and integrating robust optimization in model training
Proven capability to perform comprehensive security assessments of AI systems, including static/dynamic analysis and threat modeling specific to AI/ML pipelines
Experience in identifying and mitigating vulnerabilities in large language models (LLMs), including prompt injection and data poisoning defenses
Familiarity with model explainability tools (LIME, SHAP) and continuous monitoring solutions for detecting model drift, bias, and performance degradation
Solid understanding of MLOps tools (Kubeflow, MLflow) and secure CI/CD pipeline practices for AI systems.

Nice to have:

Specialized training or certifications in quantum cryptography (e.g., courses on post quantum cryptographic algorithms)
AI security certifications (e.g., adversarial machine learning courses).

What we offer:

Opportunities for continuous professional development
Flexible working environment
Inclusive and diverse workplace.

Additional Information:

Job Posted:
April 28, 2025

Expiration:
May 12, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Lead Security Engineer – Quantum Cryptography & AI Security