Your career starts now…
We are renowned European world leader in consulting, digital services and software development with 56.000 employees in almost 30 countries and more than 4.000 employees in Spain.
We focus on people; their growth and their professional development is what makes us grow and improve constantly.
We are passionate about the digital world and just like you we are looking for the greatest adventures. We want your day to day to be your source of inspiration. We want you to learn, to have fun, to grow and most importantly to enjoy to the fullest.
If you want to be a part of a “Great Place to work” company ...just keep reading!
The AI Architect is responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions across the organization. This role involves creating scalable AI architectures, defining AI strategies, and ensuring the successful integration of AI technologies into business processes. The AI Architect collaborates with data scientists, engineers, business leaders, and other stakeholders to deliver innovative AI-driven solutions that align with the organization’s goals and objectives.
Key Responsibilities:
1. AI Strategy & Roadmap Development:
* Define the AI vision, strategy, and roadmap in alignment with the organization’s business goals.
* Identify opportunities to leverage AI and ML technologies to solve business challenges and improve efficiency.
* Stay updated on emerging AI trends, tools, and technologies to drive innovation.
1. Architecture Design & Development:
* Design and implement scalable, efficient, and secure AI/ML architectures.
* Define best practices for AI model development, deployment, and monitoring.
* Ensure seamless integration of AI solutions with existing systems, platforms, and workflows.
1. Collaboration & Stakeholder Engagement:
* Work closely with data scientists, data engineers, and software developers to design and deploy AI models.
* Collaborate with business leaders to understand requirements and translate them into AI-driven solutions.
* Act as a technical advisor to stakeholders, providing guidance on AI capabilities and limitations.
1. Data Management & Preparation:
* Oversee data collection, preprocessing, and transformation to ensure high-quality input for AI models.
* Work with data teams to establish data pipelines and ensure data availability for AI initiatives.
* Promote data governance and compliance with data privacy regulations (e.g., GDPR, CCPA).
1. AI Model Deployment & Optimization:
* Lead the deployment of AI models into production environments, ensuring scalability and reliability.
* Optimize AI models for performance, accuracy, and efficiency.
* Implement monitoring and feedback mechanisms to continuously improve AI solutions.
1. Governance & Ethical AI Practices:
* Establish guidelines for ethical AI usage, ensuring fairness, transparency, and accountability.
* Mitigate risks associated with AI, including bias, security vulnerabilities, and unintended consequences.
* Ensure compliance with regulatory requirements and industry standards for AI.
1. Leadership & Mentorship:
* Provide technical leadership and mentorship to AI and data teams.
* Promote knowledge sharing and foster a culture of innovation within the organization.
Required Skills & Qualifications:
* Education:
* Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A Ph.D. is a plus.
* Experience:
* Proven experience in AI/ML architecture, data science, or a related field.
* Hands-on experience designing and deploying AI/ML models in production environments.
* Strong understanding of AI/ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, scikit-learn).
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
* Familiarity with big data technologies (e.g., Hadoop, Spark) and data engineering workflows.
* Technical Skills:
* Proficiency in programming languages such as Python, R, or Java.
* Strong knowledge of AI/ML algorithms, deep learning, natural language processing (NLP), and computer vision.
* Expertise in model lifecycle management, including MLOps practices.
* Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).
* Knowledge of data visualization tools and techniques.
* Soft Skills:
* Excellent problem-solving and analytical skills.
* Strong communication and presentation abilities to explain complex AI concepts to non-technical stakeholders.
* Leadership and team management skills.
* Strategic thinking with a focus on delivering business value.
Preferred Qualifications:
* Certification in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).
* Experience with edge AI, federated learning, or real-time AI applications.
* Knowledge of ethical AI practices and frameworks.
* Familiarity with Agile and DevOps methodologies.
What do we have for you?
* Full time permanent contract
* 23 days annual leave
* Continuous training: technical and transversal skills and languages. We provide access to several certifications and accreditations and learning programs with our main technological partners, online platforms and more.
* Life and accident insurance.
* Flexible benefits program (health insurance, meal vouchers, childcare vouchers, mobility, and training)
* “Privilige Club” access, where you will find deals for several brands.
* Detailed and personalized onboarding. We’ll be with you in every step of the way so you can feel #soprano from the very beginning.
* Recreational spaces in our offices because work and fun go hand in hand.
* Companionship and great working environment because we know how important the power of togetherness is.
And most importantly you´ll have the opportunity to develop your professional career with us. Together we’ll create an individualized career development plan. We’ll establish goals and we’ll make sure we achieve them together. Your priorities will be ours.
Your voice will be heard! - Join us and be part of something bigger!
The world is how we shape it
Adquirimos el compromiso de respetar la diversidad, creando un ambiente de trabajo inclusivo y aplicando políticas que favorezcan la inclusión y promuevan el respeto social y cultural en cuestiones de género, edad, funcional, orientación sexual y religión con igualdad de oportunidades.