Senior Salesforce Service Cloud & Agentforce Dev (Nearshore)

Snowrelic Inc; Quilmes; Híbrido; ARS 227.183.000 - 348.348.000; Jornada completa

Descripción de la vacante

Snowrelic Inc. in Buenos Aires, Argentina, or Mexico City, Mexico, seeks a Senior Cloud AI Engineer to drive production GenAI deployments and architect scalable AI solutions on Google Cloud. You will collaborate with global teams to implement Gemini Enterprise across large enterprise accounts.

You will mentor engineers, influence product direction, and present technical strategy to executives, ensuring governance and security standards are met.

Formación

• Bachelor's degree in CS or related field.
• 6 years of software engineering, cloud architecture or consulting with 2 years GenAI deployment.
• Experience in Python and cloud computing principles.
• Experience building/orchestrating agents using ADKs or LangChain/LlamaIndex/AutoGen.
• English fluency to communicate with global teams.

Responsabilidades

• Lead global delivery and implementation of Gemini Enterprise solutions using ADKs.
• Serve as trusted technical advisor to Google’s strategic global accounts.
• Translate complex architecture into actionable requirements for engineering teams.
• Deliver high-stakes technical presentations to executives to win engagements.
• Mentor engineers and shape best practices for agentic AI architectures.

Conocimientos

Python

Cloud computing

English fluency

GenAI deployment

ADKs/LangChain

LangChain

LlamaIndex

AutoGen

Educación

Bachelor's degree in CS or related field

Master's degree (preferred)

Herramientas

LangChain

LlamaIndex

AutoGen

ADKs

Gemini Enterprise

Google Cloud

Descripción del empleo

Senior Cloud AI Engineer, Google Cloud (English)

Share Senior Cloud AI Engineer, Google Cloud (English)

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

**Mid**

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

Share Senior Cloud AI Engineer, Google Cloud (English)

_info_outline_

Expected preferred working location: Mexico City, CDMX, Mexico; Buenos Aires, Argentina

**Minimum qualifications:**

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

**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 work directly with Google's most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing top accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise.

**Responsibilities**

• Lead the global delivery and implementation of Gemini Enterprise solutions, applying Agent Development Kits (ADKs) to solve highly complex, enterprise‑scale technical challenges.
• Serve as the trusted technical advisor to C‑suite executives at Google's most strategic global accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.
• Influence the core product roadmap by translating complex architectural challenges into actionable requirements for Google's engineering teams.
• Deliver leading practice recommendations and high‑stakes technical presentations to executive boards and key business stakeholders to secure massive‑scale technical wins.
• Act as a thought leader and mentor across the Google Cloud organization, elevating the technical acumen of engineers and shaping best practices for agentic AI architectures.

**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.**