Principal AI Engineer

This role is a principal-level AI engineering position, leading the design and implementation of AI/ML solutions to solve complex business problems. The engineer will architect scalable AI systems, mentor teams, and drive innovation in AI applications.

This Principal AI Engineer role leads the design and development of advanced AI/ML systems at Workday, focusing on integrating AI capabilities into enterprise applications. The role requires deep expertise in machine learning frameworks and large-scale system architecture to drive innovation and solve complex business problems.

This role leads the design and architecture of agentic AI systems, focusing on building scalable and reliable AI-driven solutions. The engineer will work on integrating AI capabilities into Supermetrics' platform, ensuring robust system performance and innovation.

This role is an Engineering Manager AI position, responsible for leading an AI engineering team, overseeing the development of AI/ML solutions, and ensuring alignment with business goals. The role involves managing technical projects, mentoring engineers, and driving innovation in AI applications.

This Principal Infrastructure Security Engineer role at Zeta Global is a hands-on DevSecOps position focused on securing AWS-based infrastructure and software delivery. The role involves defining a risk-based DevSecOps roadmap, implementing preventive AWS controls, and embedding security into IaC, CI/CD, and containers. The ideal candidate has 10+ years of combined software, platform, and security engineering experience, with 3+ years as a technical lead.

Leads programmatic analytics and strategy for key client accounts, designing measurement frameworks and driving complex testing initiatives such as brand lift, incrementality, and A/B experiments. Consults with clients on marketing program alignment, translates business challenges into analytical solutions, and leads client-facing communication on campaign strategy and performance insights. Owns the QBR process, establishes testing methodologies, and uses Python, SQL, Tableau, and advanced analytics techniques to optimize campaign impact and efficiency.

Supports the delivery of media dashboards and audience creation across multiple client accounts. Oversees project management, pixel/tag implementation and validation, and coordinates with third-party vendors to ensure accurate data flows.