Senior AI Solutions Architect

4 days ago

London, Greater London, United Kingdom Faculty Full time
About Faculty

Faculty is a leading applied AI company that transforms organisational performance through safe, impactful and human-led AI solutions.

Company Overview

We are a rapidly growing organisation with over 300 global customers across various industries, including retail, healthcare, energy, and governmental organisations. Our expertise and safety credentials have made us a trusted partner for OpenAI, helping customers deploy cutting-edge generative AI safely.

We pride ourselves on our high-impact work, which has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online.

About the Role: Senior AI Solutions Architect

This role is situated within our Applied AI consultancy, serving clients in our Government & Public Services business unit working on projects across a wide range of areas, including National Security, Education, Public Services and the NHS.

As a Senior AI Solutions Architect, you'll be responsible for designing, building, and deploying production-grade software, infrastructure, and MLOps systems, as well as offering leadership and mentorship to more junior engineers on the team.

You will need to be eligible for Security Clearance and may also be required to travel to locations outside of our London office.

Key Responsibilities:
  • Designing and implementing scalable AI solutions for clients in various industries
  • Leading cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems
  • Providing technical expertise to our customers and advising them on technology strategy
What We're Looking For

We're looking for an experienced Senior AI Solutions Architect who can help us achieve our goal of transforming organisational performance through safe, impactful and human-led AI solutions.

To succeed in this role, you'll need:

  • A deep understanding of machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • An exposure to and eagerness for customer-facing work gauging the commercial value of projects and advising clients on technology strategy
  • Experience in Software Engineering, including programming in Python
  • Proven experience with cloud architecture, security, deployment, and open-source tools on at least one major cloud platform, preferably AWS
  • Demonstrable experience with containers and specifically Docker and Kubernetes
  • Experience growing the technical capabilities of a team; adopting a caring attitude towards the personal and professional development of other engineers and an enthusiasm for nurturing a collaborative and accomplished engineering culture
Estimated Salary:

£120,000 - £150,000 per annum, depending on experience.

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