Principal AI Engineering Architect

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.  ABOUT THE JOB We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. We are establishing a AI Engineering team who will work closely with our most strategic customers to deeply understand their use cases and design, build, and implement products for them. As one of our founding AIs, you will deploy these solutions on the latest infrastructure for the world's most influential businesses, driving real business impact through the newest models and our own innovations in technical delivery. AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small teams to own delivery of high stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. We are looking for customer-focused software engineers to build effective custom software that leverages leading AI models and technology to solve real customer problems. You will partner directly with customers to conceptualize, design, and implement cutting-edge AI solutions. This role focuses on leveraging generative AI models, agentic systems, and iterative prototyping to build impactful proofs of concept (PoCs) that address unique business challenges. The AI engineer acts as a bridge between advanced AI technologies and practical enterprise applications, ensuring that solutions are both innovative and actionable. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also be self driven to learn about the AI market and bring forward that knowledge to improve the way in which we deliver to customers. Responsibilities Customer Engagement: Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints. Serve as a trusted advisor for AI strategy, guiding clients through the process of ideating and implementing generative and agentic AI solutions. Facilitate workshops and brainstorming sessions to identify high-value use cases for AI technologies. AI Solution Development: Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs. Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance. Experiment with cutting-edge methods in natural language processing (NLP), computer vision, reinforcement learning, and multi-agent systems to deliver innovative solutions. Iterative Prototyping: Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams. Develop reusable frameworks and tools to accelerate the deployment of generative AI solutions across diverse industries. Cross-Functional Collaboration: Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution. Provide actionable feedback from customer engagements to inform the development of new AI capabilities. Knowledge Sharing: Document best practices and lessons learned from client projects to contribute to internal knowledge bases. Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios. Requirements Technical Expertise: Strong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch. Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks. Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems. Problem-Solving Ability: Proven ability to translate abstract business challenges into concrete technical solutions using generative AI. Strong analytical skills to evaluate model performance and optimize for specific use cases. Client-Facing Skills: Exceptional communication skills for explaining complex AI concepts to diverse stakeholders. Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively. Adaptability: Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain. Willingness to travel or work on-site with clients as required. Requirements (Education, Certification, Training, and Experience) Bachelor's degree in computer science or related field or equivalent experience At least 3 years of experience in software engineering or applied machine learning roles. Direct experience working with customers on the development of AI-driven applications is highly desirable Passion for exploring the frontiers of generative and agentic AI technologies. Entrepreneurial mindset with a focus on delivering measurable business impact through innovative solutions. Commitment to continuous learning and staying at the forefront of AI advancements. This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. You will have the opportunity to shape the future of enterprise AI adoption while solving some of the most complex challenges faced by leading organizations. BENEFITS * Opportunities for certification and training * Dual monitor setup and high-spec workstations * English courses * Gym allowance * Medical Reimbursement * Full salary covered up to 20 days of sickness * Flexible working hours * Loyalty scheme * Team building activities, special events and conferences * UK/EU Travel opportunities * Snacks and drinks in the office     To see more roles, click here.

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. THE OPPORTUNITY Multiverse is the UK’s largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development — and Multiverse is in a uniquely strong position to do that. Getting it right has implications beyond the company: for the UK tech sector and the broader economy. The Scotland hub exists to make that real. A new engineering team with the mandate to build AI-native products, help modernise the existing platform, and set the practices that make Multiverse an AI-first company. Multiverse has built an environment where AI-native ways of working collapse the old boundaries, so one person can own the whole arc from idea to live product. As Principal AI Engineer, this is a deeply technical role. You’ll be the person other engineers turn to when the hard problems land — the one who navigates architectural ambiguity, makes high-stakes design decisions, and holds the bar on engineering quality across everything we build with AI. You ship code alongside the team; this is a hands-on building role, not an advisory position. WHAT YOU’LL DO * Own the AI agent architecture. Design the orchestration layer, memory and context management, evaluation framework, and integration APIs that all agent products build on. Your decisions are the ones others build on top of. * Ship production agents. You write and review code and own what goes to production. You’ll personally deliver at least one major agent system in your first six months. * Set the engineering standard. Define how Multiverse builds with AI — evaluation methodology, multi-agent coordination patterns, tool design, guardrails, and observability. You author the decision records and hold the bar. * Build the integration layer. Create the APIs, MCPs, and shared data contracts that connect agents to Multiverse’s platform, content systems, and internal tools — working closely with London engineering teams who own those systems today. * Drive technical strategy. Translate product and business goals into a coherent AI engineering roadmap. Shape which problems we tackle, in what order, and why — then socialise it with engineering leadership and the exec team. * Raise the bar around you. You’re not a line manager, but your presence makes the engineers you work with measurably better. Code review, pairing on hard problems, setting the standard for what ‘good’ looks like in AI-native engineering. WHAT WE’RE LOOKING FOR Production AI Agent Engineering You’ve shipped multi-agent systems to real users. You understand context management, model selection and routing, cost engineering (token economics, caching, prompt optimisation), tool use and failure handling, multi-agent coordination, and evaluation frameworks for non-deterministic systems. This is depth, not familiarity. Technical Strategy and Influence at Scale You’ve set technical direction across multiple teams, not just within a single squad. You translate complex architecture decisions into business-relevant narratives for executive stakeholders. You’ve defined engineering standards that were adopted organisation-wide — not just recommended, but embedded. Full-Stack Delivery You work across the stack — LLM integration, backend services, data pipelines, and enough frontend to ship end-to-end. You build with Claude Code daily, critically review AI output, and augment your tools with context and constraints to make them effective. Product Instinct You don’t wait to be handed a roadmap. You identify which problems are worth solving, in what order, and why — and you make the case for building before anyone asks you to. WHAT WOULD SET YOU APART * Background as a founding engineer or technical co-founder * Experience in EdTech, regulated content, or domains where AI output quality has compliance implications * Published thinking or external contributions in AI engineering — talks, writing, open source * Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.