Senior AI Solutions Architect

hace 5 días

Barcelona, Barcelona, España Pearson A tiempo completo
About the Role

We are seeking a highly skilled Solution Architect to join our team at Pearson, a leading education company. As a Senior AI Solution Architect, you will play a key role in designing and implementing cutting-edge artificial intelligence solutions that enhance the learning experience.

Key Responsibilities

  1. Collaborate with cross-functional teams to define requirements and prioritize AI initiatives.
  2. Define the technical architecture and infrastructure required for AI-driven applications and platforms.
  3. Design and develop scalable AI models, algorithms, and systems that support personalized learning, adaptive assessments, and intelligent tutoring systems.
  4. Provide technical leadership and guidance to development teams in the implementation of AI algorithms and systems.
  5. Mitigate risks by identifying potential challenges and proposing solutions or alternative approaches.
  6. Facilitate effective communication and collaboration among cross-functional teams, including business stakeholders, developers, testers, and infrastructure teams.
  7. Conduct system assessments and performance reviews to identify areas for improvement and optimization.
  8. Stay up to date with the latest advancements in AI technologies, frameworks, and tools.
  9. Contribute to the development and maintenance of architectural frameworks, guidelines, and standards within the organization.
  10. Drive innovation by identifying opportunities to leverage AI and machine learning techniques to improve learning outcomes.
  11. Ensure compliance with security, privacy, and regulatory requirements in the design and implementation of solutions.
  12. Collaborate with project managers to define project scope, timelines, and deliverables, and provide technical input for project planning and estimation.

Requirements

  • System architecture design and modelling
  • Proficiency in one or more programming languages commonly used in AI development, such as Python, R, and Java
  • Proficiency in AI and ML concepts, algorithms, and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras
  • Strong knowledge of AI techniques, including machine learning, natural language processing, computer vision, and recommendation systems
  • Strong understanding of generative & conversational AI and associated concepts
  • Solid understanding of data engineering principles, data pipelines, and data preprocessing techniques
  • Database management systems (MySQL, SQL Server, MongoDB), Data modelling and database design
  • Cloud computing platforms and services (AWS, Azure, GCP)
  • Integration technologies: ESB, message queues, API gateways
  • DevOps practices and tools (CI/CD, version control, automated testing)
  • Performance optimization techniques, load balancing, scalability, and distributed system design principles
  • Understanding of software development lifecycle (SDLC) and Agile methodologies

What We Offer

  • 24 Days annual leave (increasing by 1 day with every 2 years of continuous service up to 30 days)
  • Private medical insurance
  • Life insurance Policy
  • Food & Transport Allowance
  • Work-Life Balance Benefits
  • Family Benefits
  • Development and Training Benefits
  • Access to Pearson+: Pearson ́s digital library
  • Discounts on books

About Pearson

Pearson is a leading education company that aims to 'add life to a lifetime of learning' so everyone can realise the life they imagine. We create vibrant and enriching learning experiences designed for real-life impact.

How to Apply

Please submit an updated CV and cover letter (optional) in English. If you have any additional questions or require further information, please do not hesitate to reach out to us.

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