AI Solution Architect

🔥 0 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• Design end-to-end AI solutions including Generative AI applications, LLM-powered workflows, intelligent agents, RAG solutions, virtual assistants and intelligent automation • Translate business requirements into technical architectures, selecting models, services, data sources, integrations and infrastructure • Build and validate prototypes and proofs of concept • Collaborate with AI engineers, software engineers, data scientists and data engineers to move solutions from prototype to production • Design agentic solutions involving 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 • Evaluate and recommend AI models, frameworks and platforms based on performance, scalability, security and cost • Embed Responsible AI, security, privacy and compliance into designs with relevant enterprise teams • Help establish evaluation, monitoring, observability and LLMOps practices • Document architectures, technical decisions, integration patterns and implementation guidance • Track developments in Generative AI, agentic AI and cloud AI platforms and identify meaningful applications

🎯 Requirements

• 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 ability to build prototypes and reference implementations • Good command of version control, testing, CI/CD and DevOps • Awareness of AI security, data privacy, Responsible AI and governance in enterprise settings • Strong analytical skills and ability to explain technical trade-offs to technical and non-technical audiences • Experience working with multidisciplinary, distributed teams • Fluent English (written and spoken) and Spanish • Portuguese is a plus • Nice-to-have experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock or similar enterprise GenAI platforms • Nice-to-have experience with LangGraph, LangChain, Semantic Kernel, AutoGen or CrewAI • Nice-to-have end-to-end RAG implementation experience • Nice-to-have Azure AI Search or other vector database/enterprise search experience • Nice-to-have LLMOps experience • Nice-to-have modern data platform experience such as Snowflake • Nice-to-have containers, Kubernetes and infrastructure as code experience • Nice-to-have experience in healthcare, life sciences, MedTech, financial services or other regulated industries • Nice-to-have cloud, AI or architecture certifications

🏖️ Benefits

• Work on AI solutions that reach production in a regulated, high-impact industry • Collaborate with global teams and a client 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