Why Keyrus, Why Now!

Keyrusis an international group of2,800 consultantsand experts across28 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 becomea 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.

Your 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.
Balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade-offs.
Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value.
Ensure solutions are documented, governed, and transferable so clients can operate them with confidence.
Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.

🧠 Who You Are

You are a hands-on engineer who thinks like an architect and acts like a builder. You are comfortable working closely with the client, the problem, and the delivery, and you make sound decisions in complex, evolving environments.

You enjoy solving operational challenges, not only exploring technical concepts.
You communicate clearly with both technical teams and senior business stakeholders.
You navigate ambiguity with confidence, validate assumptions, and adapt quickly.
You take ownership of outcomes and raise risks or changing priorities early.
You understand that AI value depends on the full system: data, workflows, governance, adoption, and measurement.
You naturally look for what can be reused, improved, and scaled.

🛠️ What You Bring

Experience

Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
Hands-on experience delivering AI, GenAI, or software solutions into production.
Experience working directly with clients or in complex stakeholder environments.
Evidence of turning complex use cases into adopted measurable solution

Forward Deployed AI Engineer – Architect of Intelligence at Keyrus