AI Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

We are looking for an AI Engineer & Data Scientist (Microsoft focus) to join Capgemini Portugal's Data & AI consulting team. You will deliver end-to-end AI solutions across predictive/prescriptive ML and GenAI, ensuring production readiness through strong MLOps/LLMOps and Responsible AI practices on Microsoft's ecosystem.

In This Role You Will Be Responsible For

• Develop and deploy ML solutions (training, validation, deployment, monitoring and drift management) aligned with business goals.
• Build GenAI applications using Azure services (Azure OpenAI/Azure AI Studio patterns, orchestration, safety, grounding/RAG), integrating with enterprise data and systems.
• Implement MLOps and GenAIOps practices (CI/CD, observability, governance, environment promotion, automated evaluation and monitoring).
• Apply LLMOps lifecycle concepts (inner/outer loops: curation, experimentation, evaluation, deploy, monitor, feedback) to ensure quality and repeatability.
• Embed Responsible AI and safety-by-design practices (risk controls, privacy, security, content safety, auditability).
• Support pre-sales and client workshops: technical solutioning, effort estimation, proposal input, demo/POC acceleration.
• Contribute to knowledge sharing and reusable assets (templates, evaluation harnesses, deployment blueprints).

YOUR PROFILE

• Minimum of 2+ years experience delivering AI/ML solutions (production context preferred).
• Strong foundation in predictive & prescriptive AI, plus experience building GenAI solutions for business use cases.
• Practical experience with Azure AI services and/or Azure ML; familiarity with LLMOps/MLOps practices for production workloads.
• Proficiency in Python and SQL; experience with APIs/integration patterns is a plus.
• Strong communication and stakeholder management; structured problem-solving and ownership mindset.
• Fluency in Portuguese and English.
• Nice-to-have: Azure certifications; experience with evaluation frameworks and content safety controls; experience with Prompt orchestration and automation.

What You'll Love About

• At Capgemini Portugal we have a flexible and dynamic work environment. Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the company's hybrid work policy;
• We have local programs that promote people growth, reskill and new skills development (Career Acceleration Programs);
• We promote an empowering environment with autonomy and peers' relationships among the top scores of our Monthly Employees' feedback; Next to this, we also offer an attractive compensation package and benefits such as Health and Life insurance, as well as Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships in force.
• Capgemini Portugal is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, as well as employment offers and promotions made according with competence and ability or performance, respectively.

About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want |

Apply now