AI Platform Architect

We're currently looking for a Senior AI Architect to join a leading global financial institution and play a key role in designing and delivering enterprise-scale AI solutions.

RESPONSIBILITIES:
Architect and develop end-to-end AI solutions, covering the full lifecycle from data ingestion and processing through model deployment and ongoing monitoring.
Convert business requirements and use cases into scalable AI architectures, technical designs and implementation specifications.
Partner with Data Scientists, Software Engineers, Product Managers and business teams to design and deliver AI-driven solutions.
Ensure AI platforms and solutions are designed for high performance, scalability, availability and reliability.
Incorporate security, governance, compliance and responsible AI principles into the architecture and development of AI solutions.
Provide technical architecture guidance and support throughout AI-related projects and solution implementation.
Define, implement and continuously enhance security standards and guardrails for AI systems.

REQUIREMENTS:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science or a related technical discipline.
5+ years of experience across software architecture, data engineering and/or AI/ML solution design and implementation.
7–10 years of overall experience in a relevant technology field, including at least 5 years of hands-on experience in AI/ML.
Strong knowledge of machine learning, deep learning and modern data engineering practices.
Hands-on experience with major cloud platforms such as AWS, Azure or Google Cloud, including cloud-based AI services.
Proficiency in programming languages such as Python, Java and/or Scala.
Strong understanding of APIs, microservices, distributed systems and scalable application architectures.
Strong analytical, problem-solving and stakeholder communication skills.
Practical knowledge of Generative AI, Large Language Models (LLMs) and related technologies.
Understanding of data governance, data privacy, responsible AI and ethical AI practices.
Familiarity with secure software development lifecycle principles and practices.
Experience delivering technology solutions within regulated environments, such as financial services, healthcare or government, would be an advantage.

Please contact Ella Godinez at [email protected] for a confidential discussion.