GenAI Data Architect (Lisboa) Lisboa

GenAI Data Architect (Lisboa)
Lisboa
Lisboa, Lisboa, Portugal

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AI Data Architect (Lisboa) role at Capgemini

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AI Data Architect (Lisboa) role at Capgemini

GENERATIVE AI DATA ARCHITECT

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

As a Senior Generative AI Data Architect, you will be instrumental in evaluating existing AI solutions, ensuring their alignment with business needs, and developing proof of concepts (Po
Cs) to validate Gen
AI capabilities. You will support enterprises through the journey from Po
C to
- scale implementation, providing expertise in strategic alignment, governance, change management, and data security. Working closely with
- functional teams, you will enable seamless adoption and scaling of AI-powered innovations.

• Strategic Planning: Develop a comprehensive data architecture strategy for Generative AI initiatives, aligning with organizational goals and technology roadmaps.
• Architecture Design: Lead the design and development of scalable, efficient data architecture frameworks that support Generative AI models and workflows.
• Data Governance: Establish data governance policies and procedures to ensure the quality, security, and compliance of data used in Generative AI projects.
• Technical Expertise: Provide technical oversight and guidance on data management, storage, processing, and optimization for Generative AI applications.
• Collaboration: Collaborate with
  - functional teams, including data scientists, engineers, and business stakeholders, to integrate data architecture solutions into Generative AI workflows.
• Innovation: Drive innovation in data architecture practices to enhance the performance and capabilities of Generative AI models.
• Team Leadership: Manage and mentor a team of data architects, data engineers, and data analysts, fostering a culture of collaboration and continuous learning.
• Vendor Management: Evaluate and establish partnerships with data architecture vendors and technology providers to enhance the Generative AI data ecosystem.
• Risk Management: Identify and mitigate
  - related risks and challenges that may impact the success of Generative AI projects.
• Quality Assurance: Implement quality assurance processes to ensure data architecture solutions meet performance, scalability, and reliability standards.
  
  

• 5+ years of consulting experience in AI strategy, digital transformation, or enterprise technology projects.
• Strong ability to assess AI solutions, align them with use cases, and drive Po
  C development.
• Proven track record of scaling AI solutions beyond Po
  C to full enterprise adoption.
• Expertise in Gen
  AI applications, governance frameworks, and ethical AI implementation.
• Strong knowledge of
  - based AI adoption (Azure, AWS, Google Cloud).
• Master's degree in Business Analytics, Data Science, Information Systems, or related fields.
• Relevant certifications in AI and cloud platforms (Azure, AWS, Google Cloud), as well as Enterprise Architecture or Project Governance certifications.
• Fluency in English and either French or Portuguese.
  
  

• Python (OOP) – Strong experience in modular, maintainable backend systems
• Docker & Kubernetes – Proficiency in containerization and orchestration
• Terraform & Cloud
  Formation – Infrastructure as Code for cloud provisioning
• Cloud Platforms – AWS, Azure, Databricks or GCP for deploying secure workloads
• Gen
  AI Frameworks: Familiarity with Lang
  Chain, Crew
  AI, or similar LLM orchestration tools.
• Container Security – Image scanning, runtime security, and vulnerability management
• Prompt Engineering – Designing, testing, and refining prompts for AI models
• Text Processing & Vector Databases – FAISS, Pinecone or Weaviate for efficient retrieval
• Model Evaluation – Understanding of
  - focused evaluation frameworks
  
  

• Experience with CI/CD tools like Git
  Hub Actions or Jenkins.
• Familiarity with MLflow or similar model lifecycle management tools.
• Understanding of data governance, access control, and security in AI systems.
• Exposure to frontend frameworks (e. g. , React) for building admin or monitoring interfaces.
  
  

• Data Architecture: Proficiency in designing scalable and efficient data architecture solutions for Generative AI applications, encompassing data modeling, storage, processing, and integration.
• Generative AI Expertise: Strong knowledge of Generative AI technologies, Prompt Engineering, models and multimodels, LLM´s, RAG solutions, Multi agent Gen AI Orchestrators and frameworks, with the ability to architect data pipelines that support Generative AI workflows, including AI Trust and risk Sec. Management
• Data Governance: Expertise in establishing data governance frameworks inline with EU AI Act, ensuring data quality, security, compliance, and privacy in Generative AI projects.
• Leadership: Excellent leadership and team management skills, with the ability to inspire and guide a team towards achieving strategic objectives.
• Collaboration: Strong collaboration skills to work effectively with
  - functional teams, communicate complex concepts to
  - technical stakeholders, and drive alignment on data architecture decisions.
  
  

• At Capgemini Portugal we have a flexible and dynamic work environment. Flexibility enables a better
  - 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.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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