Staff GTM AI Engineer

Role Overview

Lead the technical strategy and implementation for Go-to-Market (GTM) AI systems, defining the architectural foundation for internal agentic solutions.

What You Will Do

Architect, design, and build next-gen data/AI infrastructure, integrate layers, real-time intelligence pipelines, and service architectures, and anticipate scaling bottlenecks.

Why It Might Be a Fit

You will own the architecture across business functions, ensure the platform’s long-term health and scalability, and define the roadmap for iterative modernization.

Requirements

• 7–10+ years in software engineering, with a proven track record of owning large-scale, distributed system architectures.
• Expert-level fluency in Python and modern cloud environments (AWS).
• Demonstrated experience building on Agentic frameworks (e.g., LangGraph, Claude, Vertex AI, Workato).
• Deep understanding of LLMs, RAG, vector databases, memory systems, and prompt engineering at scale.
• Mastery of Kubernetes, microservices, and high-throughput event-driven architectures.
• Proven ability to build enterprise-grade products with strict compliance, data privacy, and security-first principles.
• A track record of translating complex technical trade-offs into business-aligned roadmaps for executive leadership.
• Experience guiding engineering teams through hyper-growth or rapid scaling phases.

Tagged as: Python, Workato