Forward Deployed AI Engineer

Keyrus; Portugal; Híbrido; EUR 55 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Flexible benefits

Private medical insurance

22 days annual leave

KLX Learning Experience

International environment

Resumo da oferta

Keyrus Portugal is seeking a Forward Deployed AI Engineer to tackle a client's most pressing AI challenges, turning intent into measurable results in weeks. This experienced IC role blends hands-on engineering, architectural judgment, and business understanding.

You own the problem from ambiguity through to execution, becoming the reference the team relies on to make results last. You will collaborate with Data Engineers, Software Engineers, and Governance experts to deliver sustainable value.

Qualificações

• 5–10 years of relevant experience in AI Engineering, ML, Data/Software 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.
• Degree in Computer Science, Engineering, AI, Data Science, or related field, or equivalent experience.
• Ability to work effectively in multidisciplinary environments.
• Professional proficiency in English.

Responsabilidades

• Co-create solutions with business and technical stakeholders through workshops and rapid iterations.
• Locate, qualify, and secure access to the data required for each use case with Data Engineers.
• Translate use cases into production-ready GenAI and agentic AI solutions including RAG architectures and AI-enabled workflows.
• Prototype, test, deploy, monitor, and improve solutions in real client environments.
• Collaborate with Data Engineers, Software Engineers, Foundations Architects, Governance experts, and Service Delivery Managers to deliver outcomes.
• Balance speed, quality, cost, security, and maintainability while clarifying trade-offs.
• Define success criteria from adoption to measurable business value.
• Ensure solutions are documented, governed, and transferable for client operation.
• Turn successful delivery into reusable patterns and accelerators.

Conhecimentos

Python development

LLMs / GenAI

API integration

Cloud platforms

RAG / embeddings

LangChain / LangGraph

Docker / CI/CD

MLOps / LLMOps

Security / Governance

Client-facing

Formação académica

CS/Engineering/AI/Data Science degree

Ferramentas

Docker

Git

CI/CD

LangChain

LlamaIndex

Descrição da oferta de emprego

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.

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.

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.

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
• 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.

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.

At Keyrus, we help organisations move from experimental AI to industrialised AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. 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.

Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:

• Human in Command governance,
• and Performance Steering,

To create intelligent environments where technology amplifies human capabilities and performance compounds over time.

With 30+ years of expertise and 2,800 employees across 28 countries, we help organisations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organisations.

AI does not transform businesses. Architected intelligence does.

Keyrus Portugal participates in the +Talento Internship Program, co-funded by IEFP and Portugal 2030.