Generative AI Developer
Keyruscolombia
| Company | Keyruscolombia |
| Category | Engineering |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 22 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
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 client challenge you solve, every opportunity you shape, and every strategic partnership you help build. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges business strategy, data, AI, and executive decision-making at scale. 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 Generative AI Developer, you will help architect intelligent solutions that combine Generative AI, automation, and data to solve real business challenges across multiple industries. Working alongside experienced consultants, engineers, and AI specialists, you will gain hands-on experience designing prototypes, building AI workflows, and exploring the next generation of intelligent systems. Lead a team of junior AI consultants or interns in executing the project's prioritized in the backlog. Design and develop AI agents, assistants, and intelligent workflows that address real business needs. Support the automation of internal and client processes using Generative AI technologies and modern AI platforms Explore emerging AI capabilities, including LLMs, copilots, automation frameworks, and intelligent orchestration tools Collaborate with Data, AI, and business teams to translate opportunities into practical technical solutions Build prototypes, proofs of concept (PoCs), and demonstrations that validate new AI use cases. Contribute to documenting architectures, learnings, implementation patterns, and reusable best practices Analyze business processes and identify opportunities where AI can improve productivity and operational efficiency Participate in innovation initiatives that evaluate new models, tools, and AI capabilities before they reach production Develop a consulting mindset by combining technical experimentation with measurable business outcomes 🧠 Who You Are You are genuinely curious about how AI can transform the way people work and make decisions You enjoy experimenting with new technologies and quickly turning ideas into working prototypes You think beyond coding and naturally connect technical possibilities with business opportunities You are comfortable learning through exploration while maintaining a structured and analytical approach You enjoy collaborating with multidisciplinary teams and sharing knowledge openly You see AI as an amplifier of human capabilities and are motivated by solving meaningful problems You continuously seek opportunities to learn, improve, and contribute beyond your current experience level 🛠️ What You Bring Qualifications / Certifications Profesional graduated in Engineering, Computer Science, Business, Information Technology, or a related field Strong interest in Artificial Intelligence, Automation, Data, and emerging technologies Advanced English proficiency, with the ability to collaborate with international teams AI certifications, technical courses, or hackathon participation are considered an asset Technical Skills Hands-on experience with projects f