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hirly last saw it live on 5 November 2026. See similar open roles below, or browse the live board.
CI&T
[Job - 32354] AI Solution Architect, Colombia
Colombia
hirly's read of this role
- Seniority
- Mid level
- Country
- CO
- Work mode
- Remote-friendly
- First seen by hirly
- 21 Oct 2026
Derived automatically from the posting.
the posting
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.
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