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Nasstar

Cloud-based IT solutions & modernization partner

Head of Applied AI

Engineering LeadershipUpdated on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • Deep technical expertise in modern AI engineering, particularly large language model-based systems, retrieval-augmented generation, agentic or multi-agent architectures, vector databases and embeddings, and AI evaluation.
  • Experience taking AI or machine learning solutions from prototype through to reliable production use.
  • Strong software engineering fundamentals, including system design, application programming interfaces, version control, automated testing, and continuous integration and continuous delivery.
  • Experience with machine learning operations or large language model operations and operating AI systems in production.
  • Experience with modern cloud AI technologies and platforms.
  • Experience leading engineers building AI systems while retaining strong technical credibility.
  • Experience working directly with senior clients, ideally within consulting, professional services, or another client-led technology environment.
  • Experience participating in pre-sales through discovery, solution shaping, proposals, pitches, or helping win and expand client work.
  • Experience leading, mentoring, and developing technical people.
  • Strong understanding of responsible AI, governance, evaluation, and the challenges of deploying AI safely at scale.
  • Ability to move between discussions of business value and commercial outcomes and detailed discussions about how an AI solution should work.

Responsibilities

  • Lead and grow the Applied AI capability, including its technical direction, standards, people, propositions, and continued growth.
  • Lead senior client AI discovery, consulting, and solution conversations from initial opportunity through delivery.
  • Set standards across architecture, engineering, testing, continuous integration and continuous delivery, machine learning operations and large language model operations, evaluation, security, and AI governance.
  • Ensure AI solutions move beyond experimentation into reliable, scalable, and governed production environments.
  • Challenge solution architecture, estimates, and delivery approaches before commitments are made.
  • Lead, mentor, and develop AI engineers and senior technical specialists while building the capability needed for the future.
  • Work with sales and pre-sales teams to build pipeline, win new work, and expand existing client relationships.
  • Turn successful client solutions into repeatable offerings, accelerators, and reusable assets.
  • Help manage revenue, utilisation, capacity, and margin across the practice.
  • Build visibility in the AI market through clients, partners, events, content, and thought leadership.
  • Travel to client sites, partner events, and company offices, including central London, as required.

Desired Qualifications

  • Experience within consulting, professional services, or another client-led technology environment is particularly relevant.
  • Experience in a larger consulting organisation is considered relevant.

About the Company

Nasstar

Cloud-based IT solutions & modernization partner

Nasstar provides cloud-based IT solutions that help businesses transform through cloud technologies, offering services like cloud optimization, application modernization, connectivity, and collaboration tools through consulting, managed services, and long-term support. It works by partnering with AWS and Microsoft and deploying a team of integrators, technical specialists, and strategic advisors to assess, design, implement, and continuously support cloud environments and applications. Its differentiators include high-level partnerships (AWS Premier, Microsoft Partner), a comprehensive end-to-end service package, and a focus on long-term transformation and ongoing support. The goal is to help businesses simplify IT, improve efficiency and productivity, and enable continuous transformation with scalable cloud solutions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Wakefield, United Kingdom
Founded
1998

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