20 publicaciones de empleo destacadas de cloud architect en b (¡Están contratando!)

Sr. AI Solution Architect
Amazon Web Services Argentina S.R.L. —Buenos Aires, Buenos Aires
- Tiempo completo
Senior Software Architect (100% Remote - Worldwide)
Tether Operations Limited —Buenos Aires, Buenos Aires
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2d
Performance Tester
Capgemini —Buenos Aires, Buenos Aires
Sr. GenAI/ML Sales Specialist SOLA
Amazon Web Services Argentina S.R.L. —Buenos Aires, Buenos Aires
- Tiempo completo
Delivery Consultant - Cloud Security, Professional Services, Professional Services
Amazon Web Services Argentina S.R.L. —Buenos Aires, Buenos Aires
- Tiempo completo
Cyber Security Resiliency Technical Analyst- Buenos Aires (Hybrid)
サイネオス・ヘルス —Buenos Aires, Buenos Aires
Oracle Cloud ERP Finance Functional Consultant
Cognizant —Buenos Aires, Buenos Aires
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Launchpad Technologies —Buenos Aires, Buenos Aires
Postulación rápida
CRM Developer
Capgemini —Buenos Aires, Buenos Aires
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Postulación rápida
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Capgemini Sogeti —Buenos Aires, Buenos Aires
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PwC —Buenos Aires, Buenos Aires
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Business Technology Solutions Consultant
ZS —Buenos Aires, Buenos Aires
3d
Creative Technologist
Monks —Capital Federal, Buenos Aires
Postulación rápida
Sr Data Engineer
Capgemini —Buenos Aires, Buenos Aires
Mainframe DevOps Migration Consultant
Capgemini —Buenos Aires, Buenos Aires
IBM PD Tools Migration Specialist
Capgemini —Buenos Aires, Buenos Aires
Account Manager
Amazon Web Services Argentina S.R.L. —Buenos Aires, Buenos Aires
- Tiempo completo
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Sr Mainframe Automation Engineer
Capgemini —Buenos Aires, Buenos Aires

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Sr. AI Solution Architect

Amazon Web Services Argentina S.R.L. -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo

Descripción completa del empleo

DESCRIPTION

Amazon Web Services (AWS) is leading the next phase of AI adoption and seeking a hands-on AI Specialist Solutions Architect (SSA) to help customers transform AI ambition into production-ready solutions.

As part of the AWS sales organization, you'll work with customers facing complex AI/ML challenges that require expert-level knowledge. You'll craft scalable, flexible, and resilient technical architectures while serving as a trusted advisor throughout their generative AI and agentic AI journey.

Key job responsibilities

Build trusted technical relationships with customers of all sizes, serving as their advisor for GenAI/ML and Agentic AI adoption across their cloud journey

Manage technical relationships between AWS and customers, providing recommendations on security, cost, performance, reliability, and operational efficiency to accelerate AI/ML projects

Act as voice of customer internally, sharing feedback and requirements to influence the AWS GenAI/ML and Agentic features roadmap

Design cloud-native architectures that link technology to tangible solutions, defining GenAI/ML and Agentic architectural patterns for diverse use cases

Create and share technical content including whitepapers, code samples, blog posts, and reference architectures; evangelize AWS AI capabilities through workshops, conferences, meetups, and online channels

Lead technical deep dives and workshops, contributing reusable code, reference architectures, and technical assets for the broader engineering organization

A day in the life
Your day will be a dynamic blend of technical problem-solving and strategic collaboration. You'll engage with customers across diverse industries, diving deep into their unique AI challenges and crafting innovative cloud-native solutions. From architecting complex AI systems to developing reference implementations, you'll be at the forefront of technological innovation.

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

4+ years of experience in designing and implementing application and infrastructure solutions
3+ years of technical customer engagement and resource management experience
3+ years of production AI system design experience
Hands-on experience with cloud platforms and AI/ML services to build secure AI environments and implement RAG using embeddings, vector stores, and semantic search.
Strong communication skills with ability to influence technical and business decision-makers across diverse audiences

PREFERRED QUALIFICATIONS

Cloud technology certification (AWS, Azure, or GCP Solutions Architect or equivalent)
Advanced degree in computer science, mathematics, statistics, machine learning, or related quantitative field
Experience with LLM optimization techniques (e.g., LoRA/QLoRA, Instruction Tuning, RLHF) for domain-specific tasks
Expertise in architecting AI systems for highly regulated or security-sensitive environments (Financial Services, Healthcare, Public Sector)
Proven track record of leading complex, innovative technology initiatives with measurable business impact
Hands-on experience with cloud AI/ML services (e.g., AWS Bedrock/SageMaker, Azure OpenAI Service/Azure ML, Google Vertex AI) for production RAG implementations

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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cloud architect empleos en b

Sr. AI Solution Architect

Senior Software Architect (100% Remote - Worldwide)

Performance Tester

Sr. GenAI/ML Sales Specialist SOLA

Delivery Consultant - Cloud Security, Professional Services, Professional Services

Cyber Security Resiliency Technical Analyst- Buenos Aires (Hybrid)

Oracle Cloud ERP Finance Functional Consultant

Cloud Computing Engineer

CRM Developer

SAP BTP Technical Lead / Solution Architect

Migration Deployment Specialist - Scheduling (IBM Z Workload Scheduler)

Operational Technology (OT) Cybersecurity & Infrastructure Specialist

Business Technology Solutions Consultant

Creative Technologist

Sr Data Engineer

Mainframe DevOps Migration Consultant

IBM PD Tools Migration Specialist

Account Manager

CRM Developer

Sr Mainframe Automation Engineer

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