Senior Ai Solution Architect

Senior AI Solution Architect in Madrid , Spain Role: Senior AI Solution Architect Company: Pearson Location: Spain - Madrid (remote or hybrid*) *If you live in Madrid, you will be able to enjoy our brand-new office because we a have a remote / hybrid working model policy in place! About Pearson: Our purpose: At Pearson we 'add life to a lifetime of learning' so everyone can realise the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. Pearson was founded in 1844 and has been built on our ability to grow with and adapt to a constantly evolving market. Our 20,000+ employees are dedicated to creating the high-quality, digital-first, accessible and sustainable resources for lifelong learning.
About English Language Learning: In the English Language Learning (ELL) business unit, we aspire to become the world's leading destination to learn and improve English language skills. Our main focus is on committed learners from around the world, who are motivated by outcomes because they want to reach their full potential through learning English.
About the Role: Do you want to be part of the biggest digital transformation in the EdTech and help people around the world to learn languages and realise their dreams? The English Language Learning (ELL) division of Pearson is looking for a talented and motivated professional to join our growing team of architects as a Solution Architect. Reporting to the Chief Architect you will be responsible for designing and implementing cutting-edge artificial intelligence solutions that enhance the learning experience.
Job Description: Collaborate with cross-functional teams including product managers, engineers, data scientists, and subject matter experts to define requirements and prioritize AI initiatives.
Define the technical architecture and infrastructure required for AI-driven applications and platforms.
Design and develop scalable AI models, algorithms, and systems that support personalized learning, adaptive assessments, and intelligent tutoring systems.
Provide technical leadership and guidance to development teams in the implementation of AI algorithms and systems.
Mitigate risks by identifying potential challenges and proposing solutions or alternative approaches.
Facilitate effective communication and collaboration among cross-functional teams, including business stakeholders, developers, testers, and infrastructure teams.
Conduct system assessments and performance reviews to identify areas for improvement and optimization.
Stay up to date with the latest advancements in AI technologies, frameworks, and tools.
Contribute to the development and maintenance of architectural frameworks, guidelines, and standards within the organization.
Drive innovation by identifying opportunities to leverage AI and machine learning techniques to improve learning outcomes.
Ensure compliance with security, privacy, and regulatory requirements in the design and implementation of solutions.
Collaborate with project managers to define project scope, timelines, and deliverables, and provide technical input for project planning and estimation
*Qualifications & Skills* 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
Application of AI to support adaptive learning, personalized feedback, intelligent tutoring, and assessment in alignment with pedagogical practices
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, such as: input safeguarding, topic rails, scenario validation, safety verification
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)
Security principles and best practices, including authentication, authorization, encryption
DevOps practices and tools (CI/CD, version control, automated testing)
Performance optimization techniques, load balancing, scalability, and distributed system design principles
Microservices architecture and design principles
Understanding of software development lifecycle (SDLC) and Agile methodologies
Experience with security frameworks and technologies
Understanding of network protocols (TCP/IP, HTTP, REST)
Knowledge of data integration techniques and protocols (SOAP, REST, XML, JSON)
Familiarity with containerization and orchestration technologies (Docker, Kubernetes)
Understanding of virtualization, storage, and networking
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
Work-Life Balance Benefits
Family Benefits
Complementary Benefits
Development and Training Benefits
Access to Pearson+: Pearson´s digital library
Discounts on books
Development and training: a wide access to internal learning platforms and development plan
Diversity: At Pearson we value the power of an inclusive culture and a strong sense of belonging. We promote a culture wheredifferences are embraced as strengths and opportunities are equal and accessible.
Flexible working: Pearson is committed to hybrid working practices and has adopted flexible remote and virtual working. Where possible our employees can choose to manage their attendance to the office more flexibly.
How to apply: Thank you for your interest in applying for a role at Pearson. 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.
We look forward to receiving your application - Pearson Recruitment What to expect from Pearson Did you know Pearson is one of the 10 most innovative education companies of 2022?
At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson.
We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need.All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities.
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