Senior Software Architect

We are seeking a highly skilled and experienced Senior Software Architect to lead the development of cutting-edge security solutions for AI models, including Large Language Model (LLM) Scanners. The ideal candidate will have a deep understanding of AI security, software architecture, and compliance frameworks, along with hands-on experience in creating scalable, secure, and robust systems.Key Responsibilities1. Architectural Leadership:

• Design, develop, and oversee the architecture of AI security tools, including LLM scanners.
• Define best practices and standards for secure software development in AI-focused environments.
• •Develop scalable microservices and cloud-native solutions.

2. AI Security Expertise:

• Integrate security mechanisms into AI systems, ensuring protection against adversarial attacks, data leaks, and vulnerabilities.
• Design AI vulnerability scanning tools tailored for LLMs and related models.
• Conduct threat modeling and implement AI risk mitigation strategies.

3. Collaboration and Mentorship:

• Work closely with engineering & research teams to implement secure coding practices and architectural principles.
• Mentor junior developers and provide guidance on software architecture.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• Experience:

• Minimum 10 to 15 years of experience in software architecture and development.

• Proven experience in developing security solutions for AI systems.

• Expertise in working with LLMs and AI-related technologies.

Technical Skills:

• Proficiency in programming languages such as Python, Java, or Go.

• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).

• Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Deep understanding of security frameworks, encryption, and secure software design patterns.

Soft Skills:

• Excellent communication and leadership abilities.

• Problem-solving mindset and a collaborative approach.

Preferred Qualifications

• Certifications such as CISSP, AWS Certified Solutions Architect, or Google Professional Cloud Architect.

• Experience with AI red teaming and adversarial testing.

• Knowledge of DevSecOps practices and CI/CD pipelines for secure deployments.

Why Join Us?

• Work on innovative AI security solutions that shape the future of technology.

• Collaborate with a dynamic and talented team passionate about AI and cybersecurity.

• Competitive salary and benefits with opportunities for growth and learning.