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, and 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.

Role Details Job location:

Madrid, Spain (Hybrid - flexible) Contract type:

Employee /contract Target start date:

September 2026 Working hours:

Full-time (40h/ week) Compensation:

€70k–€85k per year

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 Data Engineers

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 Qualifications & Experience

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 solutions.

A degree in

Computer Science, Engineering, Artificial Intelligence, Data Science , or a related field, or equivalent practical experience.

Ability to work effectively in multidisciplinary environments.

Professional proficiency in

English .

Technical & Professional Skills

Strong

Python

development skills,

API integration

experience, and modern

software‑engineering practices.

Hands‑on experience with

Large Language Models (LLMs), GenAI architectures, prompt workflows,

and

model/provider selection .

Experience with

RAG, embeddings, vector search, AI agents,

and

agentic workflows.

Familiarity with frameworks such as

LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen , or comparable tools.

Experience integrating

AI

into enterprise systems, APIs, and business workflows.

Experience with at least one major cloud platform:

Azure, AWS,

or

GCP.

Working knowledge of

Docker, Git, CI/CD, production deployment, monitoring,

and

evaluation.

Understanding of

MLOps / LLMOps, security, data privacy, governance,

and

Responsible AI principles.

Nice to Have

Experience in

consulting

or

client‑facing environments.

Experience with

multimodal models, fine‑tuning, model adaptation,

or

open‑source LLMs.

Front‑end

or

full‑stack development

experience, for example,

Node.js

or

React.





Consulting or

professional‑services experience.

Exposure to

regulated industries

or

enterprise governance requirements.

What Makes You Successful

You combine

technical credibility ,

pragmatism , and

end‑to‑end ownership.

You focus on

real‑world outcomes, adoption, and measurable value

— not only the solution itself.

You move quickly while balancing

speed, quality, cost,

and

risk.

You build trust and become a reliable partner in complex client environments.

You operate effectively under pressure in client environments, where

progress and results are continuously visible.

You know when to go deep technically and when to orchestrate the right expertise.

You continuously improve, reuse, and scale what works across engagements.

What We Offer at Keyrus Spain

Competitive salary , paid in

14 instalments

(option for

12 from day one ).

Annual performance bonus .

Meal allowance

(Restaurant Tickets): €1,800/year net, distributed over 11 monthly reloads

Versátil retribution plan : transport & daycare tickets

Private medical insurance with Sanitas

(no copays, dental included)

22 days of annual leave , increasing every 3 years (up to 26 days)

14 public holidays

(Madrid calendar)

December 24th and 31st are considered

company holidays when they fall on working days .

Continuous learning via

KLX – Keyrus Learning Experience .

A collaborative, international, and human‑centred work environment

How Our Salary Ranges Work At Keyrus, salary ranges reflect

different levels of mastery and impact within the same role

— not different job titles.

Bottom of the range You meet the core requirements and will need ramp‑up time and support.

Middle of the range You are fully autonomous from Day 1 and deliver consistently.

Top of the range You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on

experience, autonomy, scope, and market context , and are discussed transparently during the process.

Responsible AI & Recruitment At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for

note‑taking purposes during interviews . AI is

never

used to make decisions.

To ensure

fairness, authenticity, and the protection of confidential and proprietary information , the use of AI tools by candidates during the recruitment process is

strictly prohibited .

Our commitment to

responsible AI practices

ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

Equal Opportunity Statement We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.

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📌 Forward Deployed AI Engineer Data Advisory · Madrid ·
🏢 The Keyrus Group
📍 Madrid