Partnerize is looking to transform the way businesses grow by building the leading partnership automation platform. They need to track performance marketing data and build solutions to turn this data into useful information for customers, making as much of this data available in real-time as possible at scale. They are seeking to establish in-house AI capabilities and transition from external consultants to a world-class internal team for their next-generation AI Co-Pilot initiative.
Requirements
- Deep experience in Google Cloud Platform (GCP) and expert-level knowledge of Vertex AI (e.g., Vertex AI Pipelines, Model Registry, Feature Store, Agent Engine).
- Proven hands-on experience architecting and leading the implementation of AI Agent Frameworks using tools like LangGraph, LangChain, or the Google ADK.
- Expert-level understanding of LLM concepts, including planning, tool use, and autonomous task execution, coupled with demonstrable expertise in RAG system design, vector databases (e.g., Redis), and embedding models.
- Fluency in Python and a strong background in DevOps practices, CI/CD pipelines, and infrastructure-as-code (IaC) for AI systems.
- Strong command of prompt engineering and generative AI model evaluation metrics (e.g., factuality, coherence).
- Full-stack capabilities, including experience with Vercel/Next.js/React UIs, are a significant plus.
- Lead the creation, documentation, and enforcement of the "Agent Definition Blueprint"—a comprehensive set of standards for building robust, scalable, secure, and maintainable AI agents.
Responsibilities
- Build and Lead the Team: Mentor, lead and develop a small, high-performing team of AI Automation Engineers, setting the technical direction and fostering a strong engineering culture.
- Manage the Transition: Own the technical knowledge transfer and operational handover from our external consultant partners to your internal FTE team, ensuring project continuity and building long-term, in-house expertise.
- Foster Innovation: Cultivate a culture of rapid experimentation, continuous iteration, and technical excellence. You will contribute to budget planning to enable exploration of novel AI technologies, testing new models, and empowering your team to stay ahead of AI-driven market dynamics.
- Guide the Transition: Lead the technical knowledge transfer and operational handover from our external consultant partners, acting as the primary internal subject matter expert to ensure long-term, in-house success.
- Own the Technical Strategy: Working with our Sr Dr of Data Science & VP of Architecture, serve as the primary technical owner and strategist for the design, construction, and long-term evolution of our enterprise-wide Agentic AI Framework.
- Drive Innovation & Experimentation: Champion a culture of rapid experimentation and technical excellence. You will have access to a dedicated experimentation fundto explore novel AI technologies, prototype new models, and inform our strategic roadmap.
- Provide Technical Mentorship: Act as the senior technical mentor for the AI Automation Engineers, guiding their work, performing advanced architecture and code reviews, and upskilling the team on complex AI/ML concepts.
Other
- Build and lead the team turning our AI vision into a production-grade, scalable reality.
- Initially manage one AI Automation Engineer, with plans to hire an additional engineer in early 2026.
- 7+ years of experience in a senior technical leadership role (e.g., Staff/Principal Engineer, Architect), with a demonstrated ability to own and lead complex, ambiguous projects from concept to production.
- A passion for mentorship and a proven ability to raise the technical bar for an entire team.
- Excellent communication and collaboration skills, with the ability to manage consultant relationships and translate complex AI concepts to senior business partners.
