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. Join us in shaping the future of GenAI security and become a member of our GenAI Security Team where innovation meets hands-on action. At Protegrity, top execs along with everyone else roll up their sleeves every day. Our cutting-edge "single pane of glass" platform empowers the world’s largest companies to protect their GenAI and data estate with ultimate transparency and control. You are an experienced, driven, and hands-on engineering leader with expertise in Generative AI (GenAI), Software Engineering, and Cybersecurity. As a Senior Technical Leader in this role, you will drive the development of next-generation solutions focusing on securing GenAI frameworks. As a key contributor, you will lead efforts to research, architect, and develop scalable technologies that set the industry standard for secure and compliant GenAI systems. You will play a central role in shaping our product strategy. 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. Integrate GenAI systems including LLM, VectorDB, RAG pipelines, agents, and guardrails into the delivery of our product features. 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. Collaborate with GenAI researchers and product teams to integrate advanced GenAI and LLM capabilities into production-grade software systems. 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 4+ 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. A commitment to continuous learning and a passion for emerging AI technologies. Intellectual curiosity with a passion for solving complex AI and security challenges. Why Choose Protegrity Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. Competitive Compensation/Total Reward Packages that include: Health Benefits (Health/Dental/Vision). Paid Time Off (PTO).
Job Title Required Skills: Strong Veeva CTMS/eTMF understanding Data migration experience (strategy and hands on experience with data migration for CTMS) Data clean up experience/monitor data quality issues
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