Job Description

We have an exciting opportunity for you to advance your cybersecurity and AI engineering career. Join us to build innovative, secure solutions that protect and empower our business.

As a Lead Security Engineer within the Cybersecurity & Tech Controls team, you are an integral part of an agile team delivering trusted, tamper-proof technology solutions across multiple technical areas. You collaborate to create secure AI platforms and prevent misuse, ensuring compliance and resilience for the firm’s business objectives.

Job responsibilities

• Execute creative security solutions, design, development, and technical troubleshooting to build and break down complex technical problems
• Lead the end-to-end design, development, and deployment of machine learning models and platforms, including LLMs, GANs, and recommendation engines
• Develop and maintain scalable cloud-native applications on AWS, Azure, or Google Cloud
• Build robust APIs for integrating machine learning models and backend systems
• Collaborate with cross-functional teams for model experimentation and solution integration

• Implement cybersecurity controls to safeguard AI workflows and ensure compliance

Required qualifications, capabilities, and skills

• Formal training or certification on Security Engineering concepts and 5+ years applied experience
• Advanced proficiency in Python and relevant libraries (Pandas, NumPy)
• Hands-on experience with frameworks and libraries including TensorFlow, PyTorch, BERT/LLMs, Hugging Face, OpenCV, scikit-learn, Flask
• Expertise in cloud and DevOps technologies, including AWS, Google Cloud, Azure, Docker, Kubernetes, Jenkins, and GitLab
• Skilled in working with databases such as MySQL, MongoDB, PostgreSQL, and NoSQL systems
• Strong background in data science and AI, covering deep learning, NLP, GenAI, RAG concepts, prompt engineering, and data visualization
• Experience in secure coding, model validation, and data privacy

Preferred qualifications, capabilities, and skills

• Experience with LLM fine-tuning, prompt engineering, and multi-modal AI integration
• Familiarity with CI/CD pipelines and automation tools
• Knowledge of frontend frameworks (React, Next.js)
• Certifications in AI/ML, Kubernetes, AWS, or cybersecurity