Buscar empleo: 287 ofertas de trabajo de once en Almagro (julio 2026)

Forward Deployed AI Engineer Data Advisory · Madrid ·

hace 3 días

Madrid

ph3Why Keyrus, Why Now! /h3 pKeyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: bAI does not transform businesses. Architected intelligence does. /b /p pFor 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: bwe operationalise intelligence. /b /p pAI does not replace humans. It repositions us to a place no system can follow: bunderstanding, deciding, designing, and creating. /b /p pAt 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. /p pOver 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 bKeyrus Architect of Intelligence. /b /p pbTechnology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. /b /p h3Role Details /h3 pbJob location: /b Madrid, Spain (Hybrid - flexible)br/bContract type: /b Employee /contractbr/bTarget start date: /b September 2026br/bWorking hours: /b Full-time (40h/ week)br/bCompensation: /b €70k–€85k per year /p h3What You’ll Architect /h3 pAs a bForward Deployed AI Engineer /b, you work at the heart of a client’s bmost pressing AI challenges /b, turning intent into an operational, measurable result in weeks rather than months. This is an bexperienced individual‑contributor role /b for someone who bcombines hands‑on engineering /b, barchitectural judgment /b, and bbusiness understanding. /b /p pYou bown the problem from ambiguity through to execution /b - 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. /p pbYour responsibilities /b /p ul lipbCo‑create solutions with business and technical stakeholders /b through workshops, rapid iterations, and hands‑on delivery. /p /li lipLocate, qualify, and bsecure access to the data required for each use case /b, working directly with Data Engineers /p /li lipTranslate use cases into production‑ready bGenAI and agentic AI solutions /b, including bRAG architectures /b, bintelligent assistants /b, and bAI‑enabled workflows /b. /p /li lipbPrototype, test, deploy, monitor, and improve solutions /b in real client environments using feedback from users and domain experts. /p /li lipWork with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes. /p /li lipbBalance speed, quality, cost, security, and maintainability /b while making clear technical and delivery trade‑offs. /p /li lipbDefine success criteria /b from the outset, bincluding adoption, performance, reliability, risk, cost, and measurable business value. /b /p /li lipEnsure solutions are documented, governed, and transferable so clients can operate them with confidence. /p /li lipbTurn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements. /b /p /li /ul h3Who You Are /h3 pYou are a bhands‑on engineer who thinks like an architect and acts like a builder. /b You are comfortable bworking closely with the client, the problem, and the delivery, /b and you make sound decisions in complex, evolving environments. /p ul lipYou benjoy solving operational challenges /b, not only exploring technical concepts. /p /li lipYou bcommunicate clearly /b with both technical teams and senior business stakeholders. /p /li lipYou navigate ambiguity with confidence, validate assumptions, and adapt quickly. /p /li lipYou btake ownership of outcomes /b and braise risks or changing priorities early. /b /p /li lipYou bunderstand that AI value depends on the full system /b: data, workflows, governance, adoption, and measurement. /p /li lipYou naturally look for what can be breused, improved, and scaled /b. /p /li /ul h3What You Bring /h3 h3Qualifications Experience /h3 ul lipb5–10 years /b of relevant experience in bAI Engineering, Machine Learning, Software Engineering, Data Engineering, /b or btechnical consulting. /b /p /li lipHands‑on experience delivering bAI, GenAI, /b or bsoftware solutions /b into production. /p /li lipExperience working directly with clients or in complex stakeholder environments. /p /li lipEvidence of turning complex use cases into adopted, measurable solutions. /p /li lipA degree in bComputer Science, Engineering, Artificial Intelligence, Data Science /b, or a related field, or equivalent practical experience. /p /li lipAbility to work effectively in multidisciplinary environments. /p /li lipProfessional proficiency in bEnglish /b. /p /li /ul h3Technical Professional Skills /h3 ul lipStrong bPython /b development skills, bAPI integration /b experience, and modern bsoftware‑engineering practices. /b /p /li lipHands‑on experience with bLarge Language Models (LLMs), GenAI architectures, prompt workflows, /b and bmodel/provider selection /b. /p /li lipExperience with bRAG, embeddings, vector search, AI agents, /b and bagentic workflows. /b /p /li lipFamiliarity with frameworks such as bLangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen /b, or comparable tools. /p /li lipExperience integrating bAI /b into enterprise systems, APIs, and business workflows. /p /li lipExperience with at least one major cloud platform: bAzure, AWS, /b or bGCP. /b /p /li lipWorking knowledge of bDocker, Git, CI/CD, production deployment, monitoring, /b and bevaluation. /b /p /li lipUnderstanding of bMLOps / LLMOps, security, data privacy, governance, /b and bResponsible AI principles. /b /p /li /ul h3Nice to Have /h3 ul lipExperience in bconsulting /b or bclient‑facing environments. /b /p /li lipExperience with bmultimodal models, fine‑tuning, model adaptation, /b or bopen‑source LLMs. /b /p /li lipbFront‑end /b or bfull‑stack development /b experience, for example, bNode.js /b or bReact. /b /p /li lipConsulting or bprofessional‑services experience. /b /p /li lipExposure to bregulated industries /b or benterprise governance requirements. /b /p /li /ul h3What Makes You Successful /h3 ul lipYou combine btechnical credibility /b, bpragmatism /b, and bend‑to‑end ownership. /b /p /li lipYou focus on breal‑world outcomes, adoption, and measurable value /b — not only the solution itself. /p /li lipYou move quickly while balancing bspeed, quality, cost, /b and brisk. /b /p /li lipYou build trust and become a reliable partner in complex client environments. /p /li lipYou operate effectively under pressure in client environments, where bprogress and results are continuously visible. /b /p /li lipYou know when to go deep technically and when to orchestrate the right expertise. /p /li lipYou continuously improve, reuse, and scale what works across engagements. /p /li /ul h3What We Offer at Keyrus Spain /h3 ul lipbCompetitive salary /b, paid in b14 instalments /b (option for b12 from day one /b). /p /li lipbAnnual performance bonus /b. /p /li lipbMeal allowance /b (Restaurant Tickets): €1,800/year net, distributed over 11 monthly reloads /p /li lipbFlexible retribution plan /b: transport daycare tickets /p /li lipbPrivate medical insurance with Sanitas /b (no copays, dental included) /p /li lipb22 days of annual leave /b, increasing every 3 years (up to 26 days) /p /li lipb14 public holidays /b (Madrid calendar) /p /li lipDecember 24th and 31st are considered bcompany holidays when they fall on working days /b. /p /li lipContinuous learning via bKLX – Keyrus Learning Experience /b. /p /li lipA collaborative, international, and human‑centred work environment /p /li /ul h3How Our Salary Ranges Work /h3 pAt Keyrus, salary ranges reflect bdifferent levels of mastery and impact within the same role /b — not different job titles. /p ul lipbBottom of the range /bbr/You meet the core requirements and will need ramp‑up time and support. /p /li lipbMiddle of the range /bbr/You are fully autonomous from Day 1 and deliver consistently. /p /li lipbTop of the range /bbr/You are a reference for the role, mentor others, and raise the bar for the team. /p /li /ul pFinal offers are based on bexperience, autonomy, scope, and market context /b, and are discussed transparently during the process. /p h3Responsible AI Recruitment /h3 pAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.br/To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for bnote‑taking purposes during interviews /b. AI is bnever /b used to make decisions. /p pTo ensure bfairness, authenticity, and the protection of confidential and proprietary information /b, the use of AI tools by candidates during the recruitment process is bstrictly prohibited /b. /p pOur commitment to bresponsible AI practices /b ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise. /p pbAny use of AI assistance during the interview process may result in immediate disqualification from the recruitment process. /b /p h3Equal Opportunity Statement /h3 pWe 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. /p /p #J-18808-Ljbffr

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