Forward Deployed AI Engineer

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 aKeyrus 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–€85kper year

📋 What You'll Architect

As a Forward Deployed AI Engineer, you work at the heart of a client'smost pressing AI challenges, turning intent into an operational, measurable result in weeks rather than months. This is anexperienced individual-contributor role for someone whocombines hands-on engineering,architectural judgment, andbusiness 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, andsecure 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 transferableso 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 ahands-on engineer who thinks like an architect and acts like a builder. You are comfortableworking closely with the client, the problem, and the delivery,and you make sound decisions in complex, evolving environments.

• Youenjoy solving operational challenges, not only exploring technical concepts.

• Youcommunicate clearly with both technical teams and senior business stakeholders.

• You navigate ambiguity with confidence, validate assumptions, and adapt quickly.

• Youtake ownership of outcomes andraise risks or changing priorities early.

• Youunderstand that AI value depends on the full system: data, workflows, governance, adoption, and measurement.

• You naturally look for what can bereused, improved, and scaled.

🛠️ What You Bring

Qualifications & Experience

• 5–10 years of relevant experience inAI Engineering, Machine Learning, Software Engineering, Data Engineering, ortechnical consulting.

• Hands-on experience deliveringAI, GenAI, orsoftware 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 inComputer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.

• Ability to work effectively in multidisciplinary environments.

• Professional proficiency inEnglish.

Technical & Professional Skills

• StrongPython development skills,API integration experience, and modernsoftware-engineering practices.

• Hands-on experience withLarge Language Models (LLMs), GenAI architectures, prompt workflows, andmodel/provider selection.

• Experience withRAG, embeddings, vector search, AI agents, andagentic workflows.

• Familiarity with frameworks such asLangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.

• Experience integratingAI into enterprise systems, APIs, and business workflows.

• Experience with at least one major cloud platform:Azure, AWS, orGCP.

• Working knowledge ofDocker, Git, CI/CD, production deployment, monitoring, andevaluation.

• Understanding ofMLOps / LLMOps, security, data privacy, governance, andResponsible AI principles.

Nice to Have

• Experience inconsulting orclient-facing environments.

• Experience withmultimodal models, fine-tuning, model adaptation, oropen-source LLMs.

• Front-end orfull-stack development experience, for example,Node.js orReact.

• Consulting orprofessional-services experience.

• Exposure toregulated industries orenterprise governance requirements.

⭐ What Makes You Successful

• You combinetechnical credibility,pragmatism, andend-to-end ownership.

• You focus onreal-world outcomes, adoption, and measurable value—not only the solution itself.

• You move quickly while balancingspeed, quality, cost, andrisk.

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

• You operate effectively under pressure in client environments, whereprogress 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 in14 instalments (option for12 from day one).

• Annual performance bonus.

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

• Flexible 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)

• December24th and31st are consideredcompany holidays when they fall on working days

• Continuous learning viaKLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflectdifferent 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 onexperience, 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 fornote-taking purposes during interviews. AI isnever used to make decisions.

To ensurefairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process isstrictly prohibited.

Our commitment toresponsible 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.