Manager, Agent Engineer, Applied AI

What you'll do

• Set technical standards and architecture practices, and lead agent development and hiring.
• Partner with sales and technical leaders to define customer requirements and deploy specialists to key accounts.
• Develop team expertise in emerging AI technologies, resolve delivery blockers, and translate customer insights into product roadmaps and internal tools.

What they ask for

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• Experience in Python or similar coding languages, and developing and deploying agentic solutions using tools, multi-agent workflows, and RAG systems.
• Experience managing customer projects and resources, and in a people management, supervision, or team leadership role.

Nice to have

• Master’s degree or PhD in AI, Computer Science, or related technical fields.
• Experience managing software development, agent development, or similar technical customer-facing teams in a cloud computing environment.

Pay

USD $262000 - $364000 (base salary)

Tools

Python, MCP, tool-calling, foundation models, Customer Engagement Suite (CES), RAG systems, Gemini Enterprise

AI focus

Builds, deploys, and optimizes conversational AI agents, including agentic systems, multi-agent workflows, and RAG solutions for enterprise customer use cases.