Cloud AI/ML Engineer I - Dialogflow & CCAI

Google LLC; Mountain View (CA); On-site; MXN 900,000 - 1,300,000; Full time

Job summary

Google LLC's Cloud Consulting Professional Services team helps customers transform their business through Google’s cloud and AI capabilities. You will lead engagements, design and deploy Dialogflow and CCAI solutions for contact centers, and translate technical concepts for executive audiences.

You will work with strategic customers, manage requirements and programs, and partner with Cloud AI Engineering to ensure successful implementations and ongoing customer success.

Qualifications

• Bachelor's degree required.
• 3 years of experience connecting telephony systems with cloud-based AI for contact centers.
• Experience leading the deployment of AI/ML strategies across business units.
• Experience translating technical concepts into business value for executive audiences.
• Experience building and deploying production-level cloud-based contact center AI solutions.
• Ability to communicate in English fluently to support clients.

Responsibilities

• Lead engagements with strategic Google Cloud customers on conversational AI projects.
• Gather requirements, manage programs, address feedback, and deliver virtual agent solutions.
• Develop, deploy, and manage Dialogflow and CCAI solutions in production.
• Provide technical expertise to customer engagements with executives and technical leaders.
• Collaborate with Google Cloud AI Engineering teams to drive product excellence.
• Communicate effectively with clients and manage project stakeholders.

Skills

AI/ML strategy leadership

Executive communication

Contact center AI

Cloud deployment experience

English communication

Education

Bachelor's degree in Computer Science or equivalent

Job description

Google LLC's Cloud Consulting Professional Services team helps customers transform their business through Google’s cloud and AI capabilities. You will lead engagements, design and deploy Dialogflow and CCAI solutions for contact centers, and translate technical concepts for executive audiences.

You will work with strategic customers, manage requirements and programs, and partner with Cloud AI Engineering to ensure successful implementations and ongoing customer success.