Senior Agentic AI Solution Specialist
A Senior Specialist will design and implement advanced Agentic and Generative AI solutions for clients.
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This job advert was originally written in Spanish.
Your profile:
• +4-5 years of experience in MLOps or Machine Learning Engineering environments.
• Expert command of Databricks (Jobs, Workflows, Repos, Model Serving).
• Experience with MLflow, Delta Lake, and Spark.
• Solid knowledge of CI/CD (Azure DevOps / GitHub Actions / Jenkins).
• Experience deploying ML on Azure, AWS, or GCP.
• Good level of Python and SQL.
• Familiarity with containers and orchestration (Docker, Kubernetes).
• Knowledge of observability practices: logging, metrics, monitoring, and alerts.
Valuable requirements:
• Certifications in Databricks or Cloud.-
• Experience working with Data Science teams.
• Experience in modern data architecture (Lakehouse).
We value all applications and offer on-site, online, and certified training. Even if you do not meet 100% of the requirements, we want to meet you!
What will you like about working here?
•Varied and challenging projects: You will work on multi-sector challenges, avoiding routine and exposing yourself to diverse technologies.
•Flexibility and hybrid model: Culture oriented towards work-life balance.
•Continuous learning:
- Training in cloud technologies, data governance, visualization...
- Real participation in projects with generative AI, Business AI, and emerging data technologies.
•Client diversity and constant innovation: Projects with real impact for leading organizations.
•Collaborative and inclusive environments: Dynamic, multicultural teams oriented towards growth.
•Professional growth and technical challenge: Autonomy, mentoring, certifications, and opportunities to expand your role within the Data & AI area.
We are looking for a Senior MLOps Engineer with solid experience in Databricks to lead the construction, automation, and optimization of our Machine Learning pipelines in a high-performance cloud environment. You will be a key piece in the industrialization of ML models and in the evolution of our data platform and advanced analytics.
What will be your role?
• Design, implement, and maintain scalable and robust Machine Learning pipelines using Databricks, MLflow, and Delta Lake.
• Develop advanced MLOps practices: versioning, CI/CD, automation, monitoring, and model governance.
• Collaborate with Data Science, Data Engineering, and Architecture teams to ensure efficient, reproducible, and secure deployments.
• Optimize costs, performance, and traceability in cloud environments (Azure/AWS).
• Define best practices and engineering standards applied to ML.
• Manage and improve the infrastructure required for the complete model lifecycle.
• Provide technical vision, mentorship, and leadership in MLOps initiatives within the area.
MAKE IT REAL. Join the team! www.capgemini.com/es-es
1 interview
Capgemini is a global leader in consulting, technology services, and digital transformation, headquartered in Paris, France. With over 350,000 employees worldwide, the company operates across more than 50 countries, helping organizations navigate their digital journeys through services like cloud, data, AI, cybersecurity, and engineering. Its scale and breadth make it one of the largest IT services firms in the world, serving clients across industries including automotive, aerospace, energy, and public sector.
In Spain, Capgemini has a strong presence with multiple delivery centers, primarily in Madrid, Barcelona, and other cities like Getafe and Sevilla, supporting both local and international clients. The company is known for its diverse, multicultural work environment and offers numerous opportunities for international professionals, especially in engineering, data, and cloud roles. Many positions involve working on global projects, often with English or French as working languages, making it an attractive employer for relocating talent.
Choosing Capgemini means choosing a company where you will have the freedom to design your professional career as you wish, with the support and inspiration of a collaborative community of colleagues around the world. Here you can reinvent what is possible. Join us and help the world's leading organizations discover the value of technology and build a more sustainable and inclusive world.
We have a Data & AI team that would be delighted to have you on board. Would you like to join?
Why Capgemini? Our commitments and priorities
Our Equality Plan and Code of Ethics guarantee inclusive and non-discriminatory processes, promoting talent in a multicultural and accessible environment for people with disabilities (we positively value having a disability certificate).
Capgemini is a global partner in business and technological transformation, helping organizations accelerate their dual transition to a digital and sustainable world, generating a tangible impact on both companies and society. We are a responsible and diverse group, with 340,000 professionals in more than 50 countries. With over 55 years of experience, our clients trust Capgemini to leverage the value of technology and cover all their business needs. We offer comprehensive solutions that range from strategy and design to engineering, driven by our leading capabilities in artificial intelligence, generative AI, cloud, and data, along with deep industry knowledge and a strong network of partners.
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