Rust Backend Architect For Bi & Data Modeling

Gramian Consulting Group

Buenos Aires

Hybrid

ARS 139,086,000 - 216,357,000

Full time

4 days ago
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Job summary

Gramian Consulting Group is seeking an AI Analyst - Agentic AI, Backend & Data Developer to design and deliver cloud-based architectures for SMB and enterprise clients. You will build prototypes, migrate workloads, and explore how GenAI and Agentic AI can transform customer outcomes.

You will work with AWS CSC LATAM, collaborating with customers and partners to ensure secure migrations, modernized databases, and production-ready solutions across cloud adoption journeys.

Qualifications

  • Experience in software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics.
  • Knowledge of cloud computing concepts and design considerations.
  • Strong written and verbal communication to executives and non-technical leaders.
  • Knowledge of ML and LLM fundamentals, transformer architectures, training/inference lifecycles, optimization techniques.
  • Programming or scripting skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby).
  • Fluent English with ability to take direction in English.

Responsibilities

  • Partner with enterprise customers to design, build, and implement solutions across cloud adoption, migration, modernization, and new workloads.
  • Work hands-on with customer and partner teams—building prototypes, proofs of concept, and production-ready architectures.
  • Guide customers through cloud migrations, moving workloads efficiently and securely.
  • Help customers explore how AI and emerging technologies can enhance applications, operations, and customer experiences.
  • Share knowledge through workshops, technical content, and community engagement.

Skills

Cloud computing
Software development
Data analytics
ML/LLM fundamentals
Programming languages
English fluency

Tools

AWS EC2
AWS S3
AWS EBS
AWS Serverless
Bedrock / SageMaker

Job description

AI Analyst - Agentic AI, Backend & Data Developer

Description
Do you get energized helping customers solve complex problems-not just on a whiteboard, but by building alongside them?
We're looking for a Solutions Architect to join our CSC LATAM team, working with SMB / Enterprise customers across the full breadth of their cloud journey. You'll help customers migrate to the cloud, modernize legacy applications and databases, build cloud-native solutions, and explore how GenAI & Agentic AI can drive their business forward.
We value practitioners-people whose judgment is grounded in real-world experience building and shipping solutions. You'll partner hands-on with customers, turning ideas into working prototypes and production-ready architectures. Whether the challenge is a complex migration, a legacy modernization, a greenfield application, or helping a customer understand how AI can transform their business-you'll bring curiosity, technical depth, and a bias for action.
If you thrive in ambiguity, adapt quickly when priorities shift, and measure your success by the outcomes you help customers achieve-we'd love to hear from you.
We value diversity in all its forms - we believe that teams made up of people with different backgrounds, experiences, perspectives, and ways of thinking are more creative, innovative, and resilient. Here, every voice matters and contributes to our collective growth.
Key job responsibilities
- Partner with enterprise customers to design, build, and implement solutions across cloud adoption, migration, modernization, and new workloads
- Work hands-on with customer and partner teams-building prototypes, proofs of concept, and production-ready architectures together
- Guide customers through cloud migrations-helping them move workloads efficiently and securely
- Help customers explore how AI and emerging technologies can enhance their applications, operations, and customer experiences
- Share knowledge broadly through workshops, technical content, and community engagement
A day in the life
In this role, you'll engage directly with customers to understand their business objectives and technical requirements, then architect cloud solutions that address their specific needs. You might spend your morning collaborating with a startup to design their initial cloud infrastructure, then transition to working with an enterprise team on migrating complex legacy systems to AWS. Throughout your day, you'll partner with AWS specialists and customer teams to validate architectural decisions, troubleshoot challenges, and ensure solutions align with both technical best practices and business goals. You'll also contribute to improving our architectural guidance and resources based on real-world customer experiences, helping shape how we support organizations of all sizes.
About the team
You'll be part of the AWS CSC Solutions Architecture team. We work with enterprise customers across industries-helping them adopt cloud, migrate and modernize their technology landscape, adopt AI, and build for the future. Our team values builders who are curious, collaborative, and customer-obsessed. We learn from each other, support each other's growth, and celebrate diverse perspectives. Whether you're presenting to executives or coding alongside engineers, you'll find a team that values both technical depth and human connection.
Basic Qualifications
- Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics
- Knowledge of cloud computing concepts and design considerations
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby)
- Speak, write, and read fluently in English, and have the ability to take direction in English
Preferred Qualifications
- - Experience across multiple domains: application development, databases, infrastructure, networking, and/or security
- - Hands-on experience with AWS services (EC2, Containers, S3, EBS, Serverless). Desirable knowledge of AWS AI/ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Quick, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe

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