Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina; São Paulo, State of São Paulo, Brazil; Santiago, Chile; Bogotá, Bogota, Colombia.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience project managing and delivering technical solutions.
- 5 years of experience managing and delivering data-driven or AI-powered solutions, including at least 5 years in a customer-facing technical role.
- Experience in at least one of the following domains: Generative AI and Process Automation (designing agentic workflows with tools like LangChain) or implementing AI solutions within Contact Center environments.
- Ability to communicate in English fluently to collaborate with international clients and teams.
Preferred qualifications:
- Experience optimizing Large Language Models (LLMs) using techniques like retrieval-augmented generation (RAG), fine-tuning, and building prototypes.
- Experience mapping business processes to agent-based automation solutions.
- Experience designing data analytics pipelines and using deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Knowledge of Contact Center AI solutions and experience with major CCaaS platforms (e.g., Genesys, Avaya, Five9).
- Understanding of the machine learning life-cycle and machine learning operation best practices (e.g., model monitoring, CI/CD).
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Consultant in Google's Professional Services Organization (PSO), you will serve as a versatile and strategic technical expert and trusted advisor to our most strategic customers, helping them turn their goal into reality. You will solve business problems by guiding the strategy, architecture, and implementation of solutions across the full spectrum of artificial intelligence. This includes designing generative AI agents for process automation with tools like Vertex AI, transforming customer service experiences with Google's Contact Center AI (CCAI) suite, and advising on the development of custom machine learning models using frameworks like TensorFlow. You will guide customers from ideation to production and establish best practices for building scalable, reliable, and innovative AI systems on Google Cloud.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities
- Serve as a trusted technical advisor, assessing customer needs to define optimal AI architectures. Lead engagements and manage the deployment of cloud AI solutions using Google’s best practices.
- Architect and implement multi-step Agentic AI workflows using LangChain and Vertex AI. Lead the technical design and integration of Google CCAI components into modern contact center platforms.
- Guide customers on the end-to-end machine learning life-cycle, including data preparation in BigQuery, model validation, and establishing machine operations best practices for scalable operations on Google Cloud.
- Collaborate with internal Product and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and reusable assets for the broader organization.
- Manage project scope, priorities, and timelines with Sales, Partners, and customer stakeholders to ensure successful outcomes. This role requires approximately 30% travel for on-site client engagements as needed.