AI Solutions Deployment Manager, Cloud Applied AI, Telco

• Contribute to 0-to-1 solution engineering, architecture design, and debugging for complex agentic workflows.
• Stress-test features to influence product roadmaps and implement evaluation frameworks.
• Pioneer architectural frameworks and authors reusable technical assets.
• Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.
• 3 years of experience writing code in one or more programming languages (e.g., Python, Java).
• Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks.

Preferred qualifications:

• Master's degree in Engineering, Computer Science, or a related technical fields.
• Experience building and scaling complex production systems and working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.
• Experience with telecom customer deployments, and other similar industries.
• Experience in technical consulting, navigating the governance, security, and procurement complexities.
• Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP).
• Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.
• 3 years of experience writing code in one or more programming languages (e.g., Python, Java).
• Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks.