AI Engineer
Equifax
✨ Why This Is a Good Vibe Coding Job
Equifax is one of the few enterprise giants openly championing the vibe coding philosophy, explicitly encouraging the use of Gemini and GitHub Copilot to accelerate software delivery. This role focuses on high-level architecture and agentic frameworks like LangGraph rather than manual syntax, offering a rare chance to lead AI-assisted workflows at a massive scale.
Reimagining Enterprise Engineering
As a lead AI Engineer, you will be at the helm of a massive technical shift, moving away from legacy patterns toward an agent-driven future. This isn't a traditional 'heads-down' coding role; you will act as a technical visionary, architecting sophisticated decision-making agents while managing the lifecycle of complex AI workflows on Google Cloud. You'll lead a high-performing team to transform business logic into scalable, cloud-native services.
The Vibe Coding Tech Stack
You will be expected to leverage cutting-edge AI assistants like GitHub Copilot, Gemini, and Claude to accelerate your output and mentor your team in modern, AI-augmented development. Your toolkit includes LangChain and LangGraph for building autonomous agents, supported by a robust infrastructure of Kubernetes, Docker, and Terraform. By mastering prompt engineering and LLM observability through tools like Langfuse, you will ensure your AI solutions are both innovative and reliable.
Impact and Leadership
This position is designed for an architect who can bridge the gap between experimental AI and production-grade software. You will have the autonomy to prototype new foundational models and RAG techniques while establishing the MLOps standards for the entire organization. This is a high-impact opportunity to define the future of generative AI within a global data leader, focusing on data-driven optimization and technical excellence.
Education
- bachelor degree
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Source: workday
Last reviewed: Sep 1, 2026. How we source and review jobs.