[Job - 32354] AI Solution Architect, Colombia

**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.