AI Solution Architect
- Compensation
- Not disclosed
- Location
- Cualquier ciudad en Colombia, CO
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Architecture
- Posted
Skills
Nice to have
- Experience with enterprise Generative AI platforms such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar technologies.
- Hands-on experience with AI orchestration and agent frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or equivalent tools.
- Experience implementing RAG solutions, including document ingestion, chunking, embeddings, vector databases, retrieval strategies, and evaluation.
- Familiarity with AI agent capabilities such as tool calling, orchestration, memory, multi-agent workflows, and human-in-the-loop patterns.
- Experience with vector databases or enterprise search technologies such as Azure AI Search or equivalent platforms.
- Familiarity with MLOps/LLMOps practices, including model and prompt evaluation, monitoring, tracing, observability, and lifecycle management.
- Experience working with modern enterprise data platforms such as Snowflake.
- Familiarity with containers, Kubernetes, infrastructure-as-code, and other cloud-native technologies.
- Experience in healthcare, life sciences, MedTech, financial services, or other regulated environments.
- Cloud, AI, or architecture certifications from Microsoft, AWS, or other recognized technology providers.
Full description
Why Keyrus, Why Now!Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
🚀 What You'll Architect
As an AI Solution Architect
- 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 and use cases into practical technical architectures, identifying appropriate AI models, services, data sources, integrations, and infrastructure.
- Collaborate with AI Engineers, Software Engineers, Data Scientists, and Data Engineers to move solutions from concept and prototype to production.
- Develop and validate prototypes and proof-of-concepts to evaluate technical feasibility, business value, and architectural approaches.
- Contribute to the creation of modular and reusable AI components, services, APIs, and architectural patterns that can support multiple business use cases.
- Design and integrate AI solutions with enterprise applications, APIs, data platforms, vector databases, and cloud services.
- Contribute to the design of agentic AI solutions, including tool integration, orchestration, memory, RAG, and human-in-the-loop patterns.
- Help evaluate AI technologies, frameworks, models, and platforms and recommend appropriate options based on solution requirements, performance, scalability, security, and cost.