Job Opportunities API

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 env