Job Description
As Team Lead – Generative AI Engineering , you’ll guide a multidisciplinary team of engineers and researchers in developing transformative generative AI solutions that power real impact. You’ll set the vision for how we apply LLMs, diffusion models, and related technologies across our data and product ecosystem. From piloting new architectures to overseeing production-grade deployments, you’ll balance technical depth with team leadership and strategic alignment—making sure every model we ship brings us closer to our mission: using data for good.
You'll guide a team of generative AI engineers across project lifecycles—providing technical oversight, coaching, and support for professional growth. Translate high-level business goals into a clear roadmap for generative AI initiatives—aligning with the broader data strategy, ethical AI principles, and platform vision. Design and oversee the implementation of scalable, secure, and performant LLM-based systems, including model lifecycle management and integration with enterprise platforms. Stay ahead of the curve on emerging models, architectures (e.g., RAG, agents), and tooling—and bring those innovations into production. Work closely with Data, Engineering, Product, and Governance teams to align AI solutions with real-world use cases and technical feasibility. Ensure your team champions model transparency, fairness, and compliance—and actively contributes to the evolution of responsible AI governance standards.
About Breezy
We believe in the power of AI to unlock opportunity—responsibly and at scale.