Principal Engineer, GenAI Security 664

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.

Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.

If you are an experienced, hands-on technical expert with deep knowledge in Generative AI (GenAI), Software Engineering, and Cybersecurity, we want to hear from you!

As a Principal Engineer in this role, you will play a critical part in shaping the future of secure GenAI systems. You’ll provide thought leadership and technical foresight on securing GenAI frameworks and infrastructure. You’ll be the technical lead on the implementation of these solutions. This is a highly technical, cross-functional role where you’ll collaborate with engineering, security, and product teams to drive innovation and set the standard for secure AI development.

You will be expected to operate with a high degree of autonomy, influence architectural decisions, and contribute thought leadership across the organization. Your work will directly impact how we build and secure next-generation AI capabilities. You will collaborate with a cross-functional team of domain experts and software engineers to deliver solutions that address critical market needs. You are passionate about solving complex challenges at the intersection of GenAI and security and wish to be part of a fast-paced, collaborative environment.

Responsibilities:

• Design and develop high-quality, scalable software products supporting our customer’s security, safety, and privacy of GenAI and LLM-based systems with advanced guardrail capabilities.

• Lead cutting-edge research on securing Generative AI frameworks emphasizing safety guardrails and compliance.

• Architect and deploy robust frameworks to govern AI systems, ensuring compliance with industry standards and regulatory mandates.

• Stay at the forefront of industry trends in GenAI tooling, cloud-native solutions, and software development practices, applying insights to improve product capabilities.

• Evaluate and integrate open-source tools and third-party platforms to accelerate product development

• Provide thought leadership in GenAI governance and security, mentoring cross-functional teams and stakeholders.

Qualifications:

• 12-15 years of experience in software engineering role with AI/ML, security, and at least 3+ years specializing in GenAI and LLMs, and a focus on scaling of GenAI solutions.

• Expertise developing and maintaining GenAI workflows including fine-tuning LLMs, embedding and vector databases, Agent & RAG workflows, prompt engineering techniques.

• Experience developing and scaling cloud solutions using APIs, containers and microservice architectures with Kubernetes, Docker, Helm, etc.

• Experience with integrating software products using authentication and authorization including cloud IAM, SSO, JWT, oAuth, etc.

• Strong programming skills in Python with experience in cloud environments (e.g., AWS, Google Cloud, Azure).

• Experience with large-scale unstructured data processing, including NLP, computer vision, or multimodal AI applications.

• Familiarity with version control tools, CI/CD pipelines and DevOps practices.

• Solid understanding of software development best practices, including Agile methodologies.

• Advanced programming skills in Python.

• Familiarity with Model Context Protocol (MCP) (preferably with oAuth) and Agent to Agent (A2A) protocols.

• Understanding of data and AI regulatory and security frameworks and standards including, NIST, OWASP, EU AI, etc.

Key Personal Attributes:

• Exceptional problem-solving skills, with a focus on secure AI system development.

• A collaborative mindset to work effectively in cross-functional environments.

• Strong communication skills to articulate complex AI concepts to diverse audiences, including executives and customers.