Forward Deployed AI Engineer

Description

Summary: As a Forward Deployed AI Engineer, you will own client AI challenges from ambiguity to execution, combining hands-on engineering, architectural judgment, and business understanding to deliver measurable value. Highlights: 1. Architect intelligent systems that bridge data, AI, and human decision-making 2. Develop judgment and expertise by solving complex client challenges 3. Work at the heart of clients' most pressing AI challenges ### **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:** Portugal (Hybrid model \- flexible) **Contract type:** Employee contract **Target start date:** September 2026 **Working hours:** Full\-time (40h/week) **Compensation:** €65k–€78k 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 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 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 Portugal** * Competitive salary aligned with your experience and the data market * Meal allowance: **€10\.20/day** * Flexible benefits plan * Private medical insurance * 22 days of annual leave, increasing every 3 years (up to 25 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.