AI Solution Architect

🔥 3 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kainos

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 Venture Round on 1986-04

Healthcare • Marketing • Logistics

Kainos is a technology company focused on solving real problems for its customers and enhancing business operations through innovative IT solutions. With specialties in Enterprise Content Management, Application Management Services, Systems Integration, and Digital Transformation, Kainos serves clients across various sectors including healthcare, commercial, and the public domain. Their emphasis on building strong relationships and delivering impactful solutions is reflected in their two main business areas: Digital Services and Workday Practice, aimed at improving the lives of people and the functionality of organizations globally.

📋 Description

• Lead Frontier AI projects as technical lead on customer engagements, owning solutions end to end • Guide Forward Deployed Engineers in delivering customer solutions • Work directly with customers and senior stakeholders to understand business problems and desired outcomes • Agree architectural principles and strategic direction • Oversee deployment, configuration, and integration of Actonomy products within customer environments • Resolve technical challenges during rollout • Provide technical direction, support, and line management to Forward Deployed Engineers • Gather user feedback and translate customer needs into product improvements with Product and Engineering teams • Create reusable deployment patterns and implementation assets • Support customer adoption and value-realisation activities • Stay current with AI, Microsoft technologies, and the Actonomy platform • Share knowledge with team members and customers • Develop customer relationships and support account management • Manage, coach, and develop staff, focusing on performance and career development

🎯 Requirements

• Proven experience leading delivery of production AI solutions across different sizes and types of challenges • Experience as technical lead on customer-facing projects, ideally deploying software products or platforms in customer environments • Significant hands-on experience with Python and public cloud platforms, particularly Azure, including SaaS and PaaS offerings • Hands-on experience with modern AI, including large language models and agentic AI: prompt engineering, RAG, tool and function calling, and orchestration • Experience with Microsoft AI stack, including Azure OpenAI, Azure AI Foundry, and Azure AI services • Proven technical ownership of an AI product or software project, including architecture, estimation, product planning, and user story/requirement creation • Ability to understand whole-solution architecture and communicate and negotiate it with senior and C-level stakeholders, including commercial implications • Ability to communicate AI design clearly in conversations, documentation, and presentations to non-engineers • Comfortable working directly with customers and users, developing relationships, and supporting account management • Experience integrating products or solutions with customer systems and data sources and resolving technical issues during implementation and rollout • Ability to prioritise across multiple major projects and deadlines • Demonstrated ability to manage, mentor, coach, and develop team members and the wider community, including managing a small number of staff • Experience with React or similar technologies • Familiarity with the Microsoft agent ecosystem • Experience creating reusable deployment patterns and implementation assets • Experience working in consulting, customer-facing, or delivery roles • Awareness of responsible AI and AI evaluation practices • Active participation in technology communities and knowledge sharing, internally and externally

🏖️ Benefits

• People-first culture • Growth and career development support • Diverse and inclusive workplace • Continuous learning • Recruitment accommodations and adjustments • Tailored recruitment process support