Manager, AI Architect

Manager, AI Architect

Salary: £60,000- £75,000 + 10% bonus

Location: Manchester, 3 days in office ideally

Do you want to be at the heart of some of the biggest and most ambitious AI & Data projects? Be part of a team that helps their client make intelligent, future-proof decisions in a world where change is the one constant. You'll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace.

ROLE AND RESPONSIBILITIES

• Translate the vision of senior client stakeholders and senior architects into the AI/ML/GenAI architectural strategy and implementation roadmap, ensuring alignment with strategic goals and digital transformation efforts.

• Collaborate with Enterprise, Application, Data & DevOps Architects, Data Scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.

• Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.

• Support the successful execution and operational improvement of AI-powered applications using agile methodology.

• Develop and maintain contact with the relevant client stakeholders and contribute to proposal development.

• Develop the capability of our junior team members through on-the-job training and formal development programmes.

SKILLS AND EXPERIENCE

Required:

• Experience in architecture-related disciplines and a solid background in data science with a good understanding of concepts relevant to AI and ML

• Experience in implementing cloud-based AI and ML workloads across one or more CSPs or third-party vendor technologies.

• Experience in architecting scalable, performant & cost-optimized AI/ML solutions leveraging; serverless technologies, container / Kubernetes-based deployments, and GPU compute infrastructure.

• Working knowledge of generative AI and hands-on experience in deploying and hosting Large Foundational Models.

• Experience with LLM architecture

• Experience in writing high-quality code in Python.

• Ability to showcase senior stakeholder management skills and collaborate well with multidisciplinary teams.

• Ability to bring teams together and lead programs to ensure success through applying coaching, facilitation, and stakeholder management.

Please note: This role does not offer sponsorship.

Apply below by sending your CV to Nilay Mukherjee via the apply link on this page!