Jobs at Prevalent AI

Lead design, architecture, and delivery of production-grade generative AI systems (RAG, agents, vector search, LLM-backed APIs). Drive end-to-end initiatives, establish LLMOps and AI safety, deploy cloud-native AI services, mentor engineers, and produce technical documentation and runbooks for scalable, secure, production-ready AI solutions.

Lead client-facing strategy and delivery for Prevalent AI's cybersecurity platform. Drive adoption of core products, shape solutions, oversee large transformation projects, mentor the client solutions team, and act as a trusted advisor to C-level clients while collaborating across sales, product, and delivery.

Lead Strategic Services to design and deliver high-value AI and data solutions for enterprise clients. Serve as senior client advisor, drive revenue growth, oversee solution design, implementation, adoption, and feedback to Product, and build scalable delivery teams and operating models.

Provide high-volume operational support across Talent Acquisition, People administration, onboarding, L&D logistics, internal communications, and events to enable strategic People team work. Maintain BambooHR records, coordinate interviews, background checks, and pre-boarding, and support compliance documentation and employee engagement activities.

Lead a team to design, build, and productionize AI/ML and LLM-driven security analytics. Responsibilities include model development (classical and deep learning), RAG/LLM integration, MLOps/LLMOps, monitoring, responsible AI, and mentoring engineers while shaping product strategy.

Drive enterprise cybersecurity sales for Prevalent AI platforms by identifying and expanding strategic accounts, leading consultative engagements, translating customer requirements into solutions, supporting demos/workshops, collaborating with product and services teams, and contributing to GTM and partner initiatives while maintaining pipeline accuracy and executive-level engagement.

A DevOps Engineer at PAI designs and supports cloud-native and hybrid environments, ensuring system performance and security while automating processes and collaborating with developers.

The AI Architect will design AI-driven cybersecurity tools, lead AI initiatives, and collaborate with teams to enhance security intelligence and risk management.

Work directly with clients to elicit requirements, design and support AI-powered cybersecurity solutions (Security Data Fabric, Knowledge Graph, Exposure Management), lead workshops/demos, collaborate with product and delivery teams, and feed client insights into the product roadmap to reduce cyber risk and deliver measurable outcomes.

The Data Architect will develop and govern data models within the Security Data Fabric, ensuring data integrity and flexibility while collaborating with technical teams and utilizing AI tools to enhance decision-making and model design.