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Senior AI Architect

2 months ago

London, Greater London, United Kingdom HCLTech Full time
About the Role

We are seeking a highly skilled Senior AI Architect to lead the design and implementation of advanced AI solutions and strategic architecture, focusing predominantly on Google Cloud Platform (GCP) services but not limited to them.

Key Responsibilities
  • Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre, and Public Cloud environments.
  • Design comprehensive AI solution and technology architecture, integrating the latest AI technology developments into world-class solutions, predominantly focusing on GCP.
  • Contribute to HCL's thought leadership in the AI & Cloud domains with a deep understanding of open-source technologies.
  • Architect innovative AI solutions from ideation to MVP, rapidly enabling genuine business value.
  • Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy, and effectiveness.
  • Assess and review existing complex solutions and recommend architectural improvements to transform applications with the latest AI technologies.
  • Drive the adoption of cutting-edge GenAI technologies, spearheading initiatives that push the boundaries of AI integration across the full spectrum of environments.
  • Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape.
  • Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships.
  • Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery.
Requirements
  • 10+ years architecture design, predominantly GCP but not limited to GCP.
  • ~7+ years in software engineering.
  • Compute Engine, Cloud Storage, Cloud SQL, BigQuery and Vertex AI.
  • Demonstrable coding proficiency with Python, Java, or Go languages.
  • Knowledge of MS Azure and/or AWS is an advantage.
  • Advanced machine learning algorithms, GenAI models.
  • Working familiarity with Copilot solutions, in both software engineering and office productivity domains.
  • Proficiency in data processing tools.
  • Agile and Scrum project management.
  • Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments.
  • Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation.
  • Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks.
  • Knowledgeable about Responsible AI, including governance and ethics.
  • Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions.
  • Recognized Professional certification from Google in an AI and/or Cloud-related domain.