[Job - 32354] AI Solution Architect, Brazil

CI&T; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

CI&T is seeking a hands-on AI solutions architect to design and scale next-gen AI across Latin America. You’ll join a regional AI team working where business strategy, AI engineering, software architecture, data and cloud converge.

This role drives production-ready, secure AI architectures from idea to deployment. You will lead end-to-end AI design, prototype validation and cross-functional collaboration with engineers and stakeholders to ensure value delivery while upholding governance and

Qualifications

• Bachelor's degree or equivalent experience in Computer Science, Software/Systems Engineering, Data Science or AI.
• 6+ years in software, cloud, solution architecture or AI engineering.
• Hands-on experience designing and building AI/ML or Generative AI solutions.
• Solid knowledge of LLMs, prompt engineering, RAG, embeddings, vector search and AI agents.
• Experience with Microsoft Azure and/or AWS.
• Experience designing and integrating APIs, microservices and cloud-native apps.
• Strong Python skills; ability to build prototypes and reference implementations.
• Good engineering practices: version control, testing, CI/CD and DevOps.
• Awareness of AI security, privacy, Responsible AI and governance in enterprise settings.
• Strong analytical skills to explain technical trade-offs to tech and non-tech audiences.
• Experience working with multidisciplinary, distributed teams.
• Fluent English and Spanish.

Responsibilities

• Design end-to-end AI solutions: Generative AI apps, LLM workflows, intelligent agents and RAG.
• Translate business requirements into practical architectures, selecting models, data sources, integrations and infra.
• Build and validate prototypes and proofs-of-concept for feasibility and value.
• Collaborate with AI, software, data scientists and data engineers to move solutions to production.
• Design agentic solutions with tool calling, orchestration, memory and human-in-the-loop patterns.
• Integrate AI solutions with enterprise apps, APIs, data platforms, vector DBs and cloud services.
• Create reusable AI components, services, APIs and architectural patterns for multiple use cases.
• Evaluate AI models, frameworks and platforms for performance, scalability, security and cost.
• Incorporate Responsible AI, security, privacy and compliance with EA, Cybersecurity, Legal and Quality teams.
• Help set up evaluation, monitoring, observability and LLMOps for production AI.
• Document architectures, decisions, integration patterns and implementation guidance.
• Keep up with Generative AI, agentic AI and cloud AI platforms and spot opportunities.

Skills

AI/ML architecture

LLMs

Python

Cloud architectures

API design

CI/CD & DevOps

Security & governance

English & Spanish

Education

Bachelor's degree in CS/Software/related

Tools

Azure

AWS

Kubernetes

Snowflake

LangChain

LangGraph

Job description

About the opportunity

Join CI&T to help a global medical technology company design and scale its next generation of AI solutions across Latin America. You’ll be part of a regional AI team, working where business strategy, AI engineering, software architecture, data and cloud meet. Your job is to turn real business challenges into secure, responsible, production-ready AI solutions.

This is a hands-on architecture role. It suits someone who enjoys digging into business problems, experimenting with emerging AI technologies, and working with engineers and stakeholders to take solutions from idea to production.

What you’ll do

• Design end-to-end AI solutions: Generative AI applications, LLM-powered workflows, intelligent agents, RAG solutions, virtual assistants and intelligent automation.
• Turn business requirements into practical technical architectures, choosing the right models, services, data sources, integrations and infrastructure.
• Build and validate prototypes and proofs of concept to test feasibility, business value and architectural options.
• Work with AI engineers, software engineers, data scientists and data engineers to take solutions from prototype to production.
• Design agentic solutions, including tool calling, orchestration, memory, retrieval and human-in-the-loop patterns.
• Integrate AI solutions with enterprise applications, APIs, data platforms, vector databases and cloud services.
• Build reusable AI components, services, APIs and architectural patterns that serve several business use cases.
• Evaluate and recommend AI models, frameworks and platforms, weighing performance, scalability, security and cost.
• Build Responsible AI, security, privacy and compliance into every design, working with Enterprise Architecture, Cybersecurity, Legal, Privacy and Quality teams.
• Help set up evaluation, monitoring, observability and LLMOps practices for AI solutions in production.
• Document architectures, technical decisions, integration patterns and implementation guidance.
• Keep up with developments in Generative AI, agentic AI and cloud AI platforms, and spot where they can solve meaningful problems.

What we’re looking for

• Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Data Science, AI or a related field, or equivalent experience.
• 6+ years in software engineering, solution or cloud engineering, data/AI engineering or solution architecture.
• Hands-on experience designing and building AI/ML or Generative AI solutions.
• Solid working knowledge of LLMs, prompt engineering, RAG, embeddings, vector search and AI agents.
• Experience with Microsoft Azure and/or AWS.
• Experience designing and integrating APIs, microservices and cloud-native applications.
• Strong Python skills, and the ability to build prototypes and reference implementations.
• Good command of engineering practices: version control, testing, CI/CD and DevOps.
• Awareness of AI security, data privacy, Responsible AI and governance in enterprise settings.
• Strong analytical skills, with the ability to weigh technical trade-offs and explain them clearly to technical and non-technical audiences.
• Experience working with multidisciplinary, distributed teams.
• Fluent English (written and spoken) and Spanish.

Nice to have

• Azure AI Foundry / Azure OpenAI, AWS Bedrock or similar enterprise GenAI platforms.
• Agent and orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or CrewAI.
• End-to-end RAG implementation: document ingestion, chunking, embeddings, retrieval strategies and evaluation.
• Azure AI Search or other vector database / enterprise search technologies.
• LLMOps: model and prompt evaluation, tracing, monitoring and lifecycle management.
• Modern data platforms such as Snowflake.
• Containers, Kubernetes and infrastructure as code.
• Experience in healthcare, life sciences, MedTech, financial services or other regulated industries.
• Cloud, AI or architecture certifications (Microsoft, AWS or equivalent).
• Portuguese is a plus.

Why CI&T

• Work on AI solutions that reach production in a regulated, high-impact industry.
• Collaborate with global teams and a client that is investing in scaling AI responsibly.
• Grow toward ownership of architecture decisions and reusable AI standards.
• Join a company that puts AI at the center of how it delivers technology.