Forward Deployed AI Engineer

Keyrus; Grimbergen; On-site; EUR 60,000 - 90,000; Full time

Job summary

Keyrus is seeking a Forward Deployed AI Engineer to drive client-focused AI projects from ambiguity to deployable solutions in weeks, not months. You will blend hands-on engineering with architectural judgment and strong business understanding to deliver measurable value for diverse industries across geographies.

You will own the problem, build the solution, and prove its impact, becoming the reference point for the team on delivering sustainable AI-enabled outcomes.

Qualifications

• Experienced IC role combining engineering, architecture and business understanding.
• Ability to own problems from ambiguity to execution with measurable value.
• Collaborate with diverse stakeholders across business and tech teams.

Responsibilities

• Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery.
• Locate, qualify, and secure access to the data required for each use case, working directly with the Data Engineer
• Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
• Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts.
• Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.

Skills

Hands-on engineering

Architectural judgment

Business understanding

Stakeholder collaboration

Tools

GenAI

RAG architectures

AI-enabled workflows

Job description

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 Forward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into an operational, measurable result in weeks rather than months. This is an experienced individual-contributor role for someone who combines hands-on engineering, architectural judgment, and business understanding.

You own the problem from ambiguity through to execution - understanding the real context, building and deploying the solution, and proving, not declaring, that it creates value. Once the terrain is understood, you become the reference the team relies on to make that result last.

• Co-create solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery.
• Locate, qualify, and secure access to the data required for each use case, working directly with the Data Engineer
• Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
• Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts.
• Work with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.
• Balance speed, quality, cost, security,