AI Solution Architect

🕒 il y a 27 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

Cette entreprise a parrainé des visas de Travailleur Qualifié du Royaume-Uni par le passé.

👻 Score fantôme 11%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Kainos

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🏥 Santé

📣 Marketing

📦 Logistique

💰 Venture Round en 1986-04

Healthcare • Marketing • Logistics

Chez Kainos, nous utilisons la technologie pour résoudre des problèmes réels pour nos clients, surmonter de grands défis pour les entreprises et simplifier la vie des gens.\n\nNous établissons des relations solides avec nos clients et faisons plus que ce qui est attendu pour transformer leur manière de travailler aujourd'hui et l'impact qu'ils auront demain.\n\nNos deux domaines d'activité spécialisés, les Services Numériques et la Pratique Workday, œuvrent globalement pour des clients des secteurs de la santé, du commerce et du secteur public afin d'améliorer un peu le monde, jour après jour.

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

🎯 Exigences

• 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

🏖️ Avantages

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