AI Engineer & Data Science (Microsoft Azure OpenAI, Azure AI Studio)

AI Engineer & Data Science (Microsoft / Azure OpenAI Azure AI Studio)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like where youll be supported and inspired by a collaborative community of colleagues around the world and where youll be able to reimagine whats possible. Join us and help the worlds 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 Portugals 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 Microsofts 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 YOULL 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 companys 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 340000 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.

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