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Mind Foundry

Explainable AI platform for high-stakes decisions

Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeOxford, UK

About the Job

Requirements

  • Experience explaining complex technical concepts to non-technical audiences.
  • Demonstrable understanding of artificial intelligence and machine learning concepts and their application to real-world problems.
  • Experience using Python.
  • Ability to translate customer needs into technical requirements and solution designs, working in an agile and collaborative way with customers.
  • Strong systems-thinking and problem-solving skills, with the ability to balance technical, operational, and commercial considerations.
  • Aptitude for learning new technical and scientific concepts and rapidly understanding customer domains, contexts, and challenges.
  • Experience working with multidisciplinary teams and assimilating contributions from a wide variety of technical and non-technical stakeholders.
  • Ability to travel to and work from client sites and partner locations.
  • Must hold or be eligible for UK Security Checked Vetting (SC).

Responsibilities

  • Act as the technical artificial intelligence and machine learning lead in customer engagements, clearly communicating the company's technology and its application to complex real-world operational challenges.
  • Work directly with customers to identify and understand their pain points and priorities, and collaboratively scope opportunities face to face.
  • Define technical solutions that align customer needs with the company's products, capabilities, and roadmap.
  • Partner with Product, Technical Services, and Mission Systems teams to develop technical solutions that support new business, renewals, and customer success.
  • Contribute to bids, proposals, business cases, and technical marketing material, articulating the value of the technology to technical and non-technical audiences.
  • Work with the Mission Systems team to prioritize opportunities with technical and commercial value to the company and customer.
  • Develop and maintain a deep understanding of customer problem domains and operational challenges from scientific and product perspectives, identifying innovative ways to deliver value.
  • Build and maintain relationships with technical stakeholders across customer and partner organizations.
  • Collaborate with internal product, delivery, and strategy teams to ensure work and investment deliver customer value.
  • Explore and prototype new approaches that showcase the potential of the company's technology and inspire customers, partners, and colleagues.

Desired Qualifications

  • Knowledge, understanding, or experience in artificial intelligence and software as a service.
  • Enterprise sales experience.
  • Experience working in technology for Defence and/or National Security.
  • Experience working in the UK Defence Land Domain.
  • Data science experience.

About the Company

Mind Foundry

Explainable AI platform for high-stakes decisions

Mind Foundry builds enterprise AI software focused on high-stakes decisions in sectors like insurance, infrastructure, and defense. It offers the Mind Foundry Platform, a toolset that lets data scientists and business users design, test, deploy, and monitor responsible, explainable AI models. The platform supports human-AI collaboration, model governance, and ongoing monitoring, applying Bayesian inference and probabilistic methods to real-world problems such as fraud detection, pricing optimization, claims management, and infrastructure health monitoring. The company differentiates itself through its research-backed approach from the University of Oxford, emphasis on explainability and governance for trusted AI, and strategic partnerships (e.g., ANDI) that target large enterprises and public sector clients. Its goal is to help organizations deploy transparent, reliable AI that improves decision-making while maintaining control over model behavior and risk.

Company size
51-200
Company stage
Grant
Total funding
$59.9M
Headquarters
Oxford, United Kingdom
Founded
2016

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