Senior AI Solutions Engineer

Why Keyrus, Why Now

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.

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 Solutions Engineer, you will help clients move from AI experimentation to real-world adoption. You will design, build, and advise on intelligent systems that combine Generative AI, modern software engineering, and business value creation. From early solution design to production-ready implementations, you will help organizations understand, shape, and operationalize AI.

• Architect and deliver Generative AI solutions, including prompt workflows, Retrieval-Augmented Generation (RAG) pipelines, intelligent assistants, and agentic systems.
• Design and develop secure backend services in Python and Node.js, exposing AI capabilities through scalable APIs and integration layers.
• Collaborate with front-end teams to create intuitive AI-powered user experiences and applications.
• Translate client challenges into practical AI solutions, balancing business value, technical feasibility, and long-term maintainability.
• Lead technical discovery workshops, demonstrations, and solution design sessions with both business and technical stakeholders.
• Support pre-sales and business development activities, including proposals, solution architecture, client presentations, and effort estimations.
• Act as a trusted advisor throughout early project phases, helping clients understand the opportunities, limitations, and risks of modern AI technologies.
• Deliver AI awareness sessions and training workshops, enabling organizations to build AI literacy and confidence.
• Collaborate closely with product, data, and engineering teams to align technical implementation with business objectives.
• Contribute to Keyrus AI methodologies, accelerators, and best practices, helping strengthen our AI capabilities across the organization.

Who You Are

You are passionate about emerging technologies, enjoy turning innovative ideas into practical solutions, and combine a strong technical foundation with the ability to communicate clearly, influence stakeholders, and guide organizations through rapidly evolving AI landscapes. You thrive in consulting environments where curiosity, collaboration, and continuous learning are essential. You are comfortable working with ambiguity, helping clients navigate complex decisions, and transforming opportunities into tangible outcomes.

What You Bring

Qualifications / Experience

• 5+ years of experience in software engineering, AI, machine learning, data science, or solution architecture.
• Experience designing and delivering AI-powered applications or intelligent platforms in enterprise environments.
• Strong understanding of Generative AI concepts, including prompt engineering, RAG architectures, foundation models, and AI application design.
• Experience working directly with clients in a consulting, advisory, solution engineering, or technical pre-sales capacity.
• Proven ability to translate complex technical concepts into clear business language.
• Comfortable facilitating workshops, demonstrations, presentations, and stakeholder discussions at different organizational levels.
• Experience working in cross-functional