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 a Senior AI Strategist / Solution Architect, you will architect intelligent operating systems that help organizations move from isolated AI experiments to scalable, governed, and business-ready intelligence. You will combine strategy, architecture, technical leadership, and executive advisory to define AI roadmaps, evaluate technologies, and design solutions that create measurable and sustainable value.

• Lead enterprise AI discovery initiatives through executive workshops, stakeholder interviews, and operational assessments that uncover high-impact opportunities

• Architect AI maturity assessments across strategy, architecture, tooling, literacy, governance, organizational readiness, and security to create actionable transformation roadmaps

• Prioritize AI initiatives using structured value × feasibility × complexity frameworks that enable confident investment decisions and measurable business outcomes

• Design target-state architectures for generative and agentic AI systems, including multi-agent workflows, RAG pipelines, tool/function calling, memory management, guardrails, and human-in-the-loop orchestration

• Evaluate existing technology ecosystems and recommend pragmatic adoption strategies that maximize current investments while sequencing future capabilities

• Develop AI governance models, responsible AI recommendations, and operating frameworks that balance innovation with enterprise control

• Translate complex technical trade-offs into executive narratives that align business leaders and engineering teams around a common vision

• Contribute to pre-sales engagements, solution design, and strategic client conversations that position AI as an operational capability rather than a standalone technology

• Mentor consultants and engineers while defining reusable methodologies, architectural standards, and best practices for the AI practice

• Continuously evaluate emerging models, frameworks, MCP capabilities, agent protocols, and governance trends, bringing well-judged innovation back to clients and internal teams

🧠 Who You Are

• You approach AI as a business architecture discipline, not simply a technology implementation

• You naturally move between executive strategy discussions and deep technical design without losing clarity or credibility

• You enjoy transforming ambiguity into structured roadmaps, governance models, and actionable priorities

• You evaluate platforms objectively, balancing technical excellence, business value, and long-term sustainability

• You combine curiosity with disciplined judgment, helping organizations adopt AI responsibly and pragmatically

• You thrive in consultative environments where communication, facilitation, and influence are as important as technical expertise

• You enjoy mentoring others and helping build capabilities that extend far beyond individual client engagements

🛠️ What You Bring

Qualifications / Certifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field (or equivalent professional experience)

• 7+ years of experience in AI, Data, Software Engineering, or Solution Architecture, including at least 2 years working with Generative AI or Agentic AI solutions

• Proven consulting or client-facing experience leading strategic technology initiatives

• AWS AI/ML, AWS Solutions Architect, Microsoft AI, Azure AI, Salesforce Agentforce, or equivalent certifications are considered an asset

Technical Skills

• Hands-on experience designing and delivering AI agents, multi-agent systems, RAG architectures, tool/function calling, guardrails, and orchestration frameworks such as LangChain, LangGraph, or equivalent

• Practical expertise using Anthropic Claude and Microsoft Copilot ecosystems, including Claude Projects, Claude Skills, MCP, Copilot, and Copilot Studio

• Experience with enterprise AI platforms such as AWS Bedrock, Azure OpenAI, or equivalent cloud-native AI services

• Strong understanding of Retrieval-Augmented Generation (RAG), including embeddings, chunking strategies, semantic and hybrid search, reranking, vector databases, and evaluation methodologies

• Experience leading AI discovery sessions, executive workshops, and structured business assessments

• Ability to build AI strategies, business cases, and value hypotheses that prioritize initiatives based on measurable impact

• Strong Python development skills and software engineering fundamentals, including APIs, services, testing, and version control

• Experience evaluating AI platforms objectively and designing scalable architectures that balance technical feasibility, governance, and business value

⭐ Nice-to-haves

• Experience designing enterprise AI governance frameworks, Responsible AI programs, and AI operating models (CoE / Core + Edge)

• Familiarity with AI maturity assessment methodologies and benchmarking frameworks

• Experience integrating multiple agent platforms within unified enterprise architectures

• Knowledge of regulatory and privacy frameworks such as GDPR and the EU AI Act

• Exposure to React or modern frontend frameworks for AI copilots and interactive demonstrations

• Experience mentoring engineers, consultants, or scaling AI consulting practices

🎯 What Makes You Successful

• Exceptional communication skills, with the ability to facilitate executive workshops and influence both technical and business audiences

• Comfortable translating AI complexity into clear roadmaps, investment decisions, and strategic recommendations

• Brings a consultative mindset that balances innovation, governance, and measurable business value

• Demonstrates executive presence while collaborating effectively with architects, engineers, product leaders, and C-level stakeholders

• Combines structured thinking with technical credibility to drive confident enterprise AI adoption

• Builds trust through thoughtful facilitation, pragmatic decision-making, and a relentless focus on operational outcomes

Role Details

📍 Location: Colombia
💼 Contract: Full-time | Indefinite term contract
🌐 Work Model: Remote
🚀 Level: Senior / Architect

Rewards - What We Offer at Keyrus

• 100% remote work

• International and multicultural projects

• Opportunities to work with leading technologies in the Digital Commerce ecosystem

• Access to training programs and continuous professional development

• Professional growth opportunities and internal mobility

• A culture built on collaboration, innovation, and continuous learning

🌍 What We Stand For

• Collective Intelligence — Collaboration across expertise, functions, and geographies makes it possible to combine know-how and deliver more comprehensive responses to client challenges.

• Reliability — The ability to deliver complex projects with rigour is one of the pillars of our client relationship.

• Pragmatism — Prioritising concrete impact and measurable value over abstract technological discourse.

• Entrepreneurial Spirit — Curiosity, energy, and freedom are the foundations of our culture; they enable initiative and sustained innovation.

ABOUT KEYRUS

At Keyrus, we help organizations move from experimental AI to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalize intelligence.

Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:

• Intelligence Foundations

• Human in Command governance

• Performance Steering

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organizations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organizations.

AI does not transform businesses. Architected intelligence does.

Keyrus is listed on Euronext Growth Paris. (ALKEY – ISIN Code: FR0004029411 – Reuters: KEYR.PA – Bloomberg: ALKEY: FP).

For more information: www.keyrus.com