About the role
TL;DR
Design and scale AI solutions, turning business challenges into production-ready AI applications.
- •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.
Required skills
PythonLLMsAzureAWSMicroservicesGitCI/CDDockerKubernetes
Nice-to-have skills
LangChainOpenAI APIHugging Face
Domain expertise
healthcare
Tech stack
PythonAzureAWSOpenAI APILangChainLLMsMicroservicesKubernetesDockerCI/CDGit
