Senior Ai Engineer: Architect Scalable Llm Solutions

Epam Systems, Inc.; Buenos Aires; Presencial; ARS 182.877.000 - 243.836.000; Jornada completa

Descripción de la vacante

Google is seeking a Cloud AI Engineer for the Google Cloud Consulting Professional Services team. You will design and implement GenAI-powered machine learning solutions, leveraging TensorFlow, Vertex AI, and DataFlow.

You will collaborate with clients to identify opportunities, travel to sites, and educate stakeholders while coordinating with Product Management and Engineering. You will work with Google Cloud customers to guide implementations, provide architecture guidance, and drive best

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 Generative AI (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 and implementation of Gemini Enterprise solutions with ADKs to solve enterprise challenges.
• Advise Google's strategic customers to shape AI strategy and expand Gemini Enterprise adoption.
• Provide architectural guidance and collaborate with engineering to address gaps and architect scalable workarounds.
• Deliver presentations and recommendations to stakeholders including C-suite to enable Gemini Enterprise adoption.

Conocimientos

GenAI deployments

Python

Cloud architecture

ADKs/LangChain/LlamaIndex/AutoGen

Cloud computing principles

Team mentoring

Educación

Bachelor's degree in Computer Science or related field

Master's degree in CS/AI (preferred)

Herramientas

TensorFlow

DataFlow

Vertex AI

LangChain

LlamaIndex

AutoGen

Descripción del empleo

Ayer

Cloud AI Engineer, Google Cloud

Share Cloud AI Engineer, Google Cloud

_corporate_fare_ Google _place_ Buenos Aires, Argentina; Mexico City, CDMX, Mexico

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Cloud AI Engineer, Google Cloud

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X

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: **Buenos Aires, Argentina; Mexico City, CDMX, Mexico** .

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.

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.

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Google is proud to be an equal opportunity 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. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .