Senior Ai Engineer: Architect Scalable Llm Solutions

Epam Systems, Inc.; Ciudad de Mendoza; Presencial; ARS 1.200.000 - 2.100.000; Jornada completa

Descripción de la vacante

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 a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.

Formación

• Bachelor's degree in Computer Science or related field or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting.
• 2 years of experience deploying production GenAI applications.
• Experience building and orchestrating agents using ADKs or frameworks (LangChain, LlamaIndex, AutoGen).
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).

Responsabilidades

• Lead delivery, deployment, and implementation of Gemini Enterprise solutions using ADKs for enterprise-scale challenges.
• Act as a trusted technical advisor to Google’s strategic customers to shape AI strategy and adoption of Gemini Enterprise.
• Provide architectural guidance, collaborate with engineering to address gaps, and architect scalable workarounds for edge cases.
• Deliver best-practice recommendations and technical presentations to C-suite and stakeholders to enable Gemini Enterprise adoption.

Conocimientos

Python

Cloud computing

GenAI deployment

ADK frameworks

LangChain/LlamaIndex/AutoGen

Data migration

Educación

Bachelor's degree in Computer Science

Herramientas

Google Cloud

Vertex AI

TensorFlow

DataFlow

Descripción del empleo

Cloud AI Engineer, Google Cloud

Minimum qualifications

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting.
• 2 years of experience deploying production Generative AI (GenAI) applications.
• Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).

Preferred qualifications

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Relevant Google Cloud certifications, such as Professional Cloud Architect or Professional Machine Learning Engineer.
• Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.
• Experience leveraging Large Language Model (LLMs) to deploy enterprise-scale multimodal solutions across text, image, video, and audio.
• Advanced experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.
• Proven track record leading technical project deployments and engineering teams on large cloud transformations.

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 Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

In this role, you will work with key Google Cloud customers, and together with the team, you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google's 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

• Lead the delivery, deployment, and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve complex, enterprise‑scale technical customer challenges.
• Act as a trusted technical advisor to Google's most strategic customers to shape their AI strategy, drive, and accelerate the adoption of Gemini Enterprise.
• Provide architectural guidance on existing product challenges, collaborate closely with the engineering team to address gaps, and architect scalable workarounds for edge cases.
• Deliver leading practice recommendations and technical presentations adapted to different levels of key business and technical stakeholders (including C‑suite executives) to proactively foster Gemini Enterprise adoption and enablement.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Other Details

Location: Buenos Aires, Argentina; Mexico City, CDMX, Mexico

Contract type: Full‑time

Hours: 40 hours per week

Eligibility: 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.