Digital Implementation Architect in London

Company DescriptionVersion 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner3300+ strong, 350/300m revenue business10+ years as a Great Place to Work in Ireland & UKBest Workplace for Women in the UK & Ireland by GPTWBest Workplace for Wellbeing in the UK by GPTWWe're a core valuesdriven company, we hire people who share our values, and we reward those who display and foster them, it's deeply embedded within our DNA. Job DescriptionWe are seeking an experienced AI Solution Architect to lead the design, architecture, and delivery of AI-powered solutions across client and internal projects. This role bridges business requirements, data science, software engineering, and cloud infrastructure to create scalable, secure, and production-ready AI systems. The ideal candidate combines strong technical expertise with stakeholder management skills and can translate business challenges into practical AI solutions that deliver measurable value. Key ResponsibilitiesSolution Architecture & DesignLead discovery workshops and requirements gathering with stakeholders. Design end-to-end AI solution architectures for Generative AI, Machine Learning, and Intelligent Automation initiatives. Define system integration patterns across enterprise applications, APIs, databases, and cloud services. Create technical architecture diagrams, solution designs, and implementation roadmaps. Evaluate AI technologies, platforms, and frameworks to recommend best-fit solutions. AI Strategy & AdvisoryAdvise clients and internal stakeholders on AI adoption strategies and use cases. Conduct AI feasibility assessments, proof-of-concepts, and technology evaluations. Develop responsible AI frameworks covering bias evaluation, model explainability, data privacy, and regulatory compliance including the EU AI Act. Identify opportunities for process optimization through AI and automation. Delivery LeadershipProvide technical leadership throughout project lifecycles. Collaborate with AI/ML Engineers, Data Scientists, Software Engineers, and Product Teams. Review solution designs and ensure alignment with enterprise architecture standards. Support deployment planning, risk management, and solution scalability across full delivery lifecycle. Engage with executive stakeholders to align AI initiatives with business objectives. QualificationsTechnical SkillsStrong understanding of Machine Learning and Generative AI architectures. Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).Knowledge of AI orchestration frameworks such as: AWSMicrosoft AzureGoogle Cloud PlatformAPI design and microservices architecture. Data architecture and integration experience. Familiarity with knowledge graphs, vector databases and knowledge management systems. Generative AI ExperienceDesign and scale LLM-based applications, including multi-model routing, context management, and cost/latency optimisation. Agentic AI systems. RAG design patterns, including chunking strategies, re-ranking, hybrid search, and evaluationEvaluation and monitoring frameworks covering hallucination detection, relevance scoring, and production drift monitoring. AI safety, governance, and compliance. Human-Centred AI DesignTrust architecture: design confidence scoring and uncertainty communication frameworks so users understand when AI is offering a recommendation versus a definitive answer; implement explainability mechanisms that build trust through transparency whilst maintaining appropriate scepticism about AI outputs. mandate human review pathways for high-risk decisions in line with EU AI Act requirements. Feedback and control: design mechanisms enabling users to challenge, correct, or escalate AI-informed decisions. Professional Experience7+ years in software engineering, solution architecture, data engineering, or AI-related roles.3+ years designing enterprise AI or ML solutions. At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profitsStrong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programmeFlexible/remote working, Version 1 is tremendously understanding of life events and people's individual circumstances and offer flexibility to help achieve a healthy work life balanceFinancial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount schemeEmployee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policiesEducational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red HatReward schemes including Version 1's Annual Excellence Awards & 'Call-Out' platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. Video links:#