[Job - 32354] AI Solution Architect, Colombia
关于机会加入 CI&T 帮助全球医疗技术公司在拉丁美洲设计和扩展其下一代人工智能解决方案。你将成为一个区域的 AI 团队的一部分，工作在商业战略，人工智能工程，软件架构，数据和云相遇的地方。你的任务是把真正的商业挑战变成安全，负责任，生产准备的 AI 解决方案。这是一个实践式建筑角色。它适合那些喜欢挖掘商业问题，试验新兴的人工智能技术并与工程师和利益相关者合作以从想法到生产中采取解决方案的人：创建人工智能应用，基于 LLM 的工作流程，智能代理人，RAG 解决方案，虚拟助理和智能自动化。- 将业务需求转换为实际技术架构，选择合适的模型，服务，数据来源，集成和基础设施。- 建立并验证原型和概念证明以测试可行性，商业价值和建筑选项。- 与人工智能工程师，软件工程师，数据科学家和数据工程师合作从原型到生产中采取解决方案。- 设计包括工具调用，编排，内存，检索和循环中的人类模式等机械解决方案。- 集成 AI 解决方案与企业应用程序，API,数据平台，矢量数据库和云服务。- 构建可重复使用的 AI 组件，服务，API 和建筑模式，为多个商业用途提供服务。-评估并推 AI 模型，框架和平台，衡量性能，扩展性，安全性和成本。- 在每个设计中建立负责任的 AI,安全性，隐私和合规性，与企业架构，网络安全，法律，隐私及质量团队合作。- 帮助创建生产中的 AI 解决方案的评价，监测，可观察性和 LLMOps 实践。文件架构，技术决策，集成模式和实施指导。- 保持生成人工智能，代理 AI 和云 AI 平台的发展情况，并发现它们可以解决有意义的问题的地方。我们正在寻找的是计算机科学，软件工程，系统工程，数据科学，人工智能或相关领域的学士学位，或者相等经验。6年以上在软件工程中，解决方案或云工程，数据/人工智能工程或解决方案架构。- 手动设计和构建 AI/ML 或生成人工智能的解决方案的经验。
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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.