AI Solutions 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. Role: AI Solutions Architect Location: Bristol HQ – Hybrid Model – 3 days p/w on site Salary: DOE We are seeking an AI Solutions Architect to shape, build and deploy AI-enabled solutions directly alongside our clients. This is a hands-on, client-facing role that combines strategic architecture, software engineering and AI delivery expertise. Working across both pre-sales and implementation, you will assess opportunities, design scalable architectures, build working solutions and lead the first delivery increments. You will act as a trusted technical advisor to clients, ensuring solutions are commercially viable, technically robust and capable of delivering measurable business outcomes. Key Responsibilities - Design and lead end-to-end solution architectures that align with business requirements and enterprise standards. - Take technical ownership of AI and software solutions through design, build, integration, testing and deployment. - Build APIs, integrations, data pipelines and cloud-native solutions that enable scalable AI applications. - Evaluate, implement and optimise ML and LLM technologies, balancing performance, cost and risk. - Lead client discovery, requirements gathering and feasibility assessments to identify high-value AI opportunities. Act as a trusted technical advisor, guiding clients on architecture decisions and responsible AI adoption. - Own the technical elements of bids, proposals and proof-of-concepts, ensuring solutions are deliverable and commercially viable. - Collaborate closely with client stakeholders to translate business challenges into working solutions. - Stay at the forefront of emerging AI technologies and apply relevant innovations to client engagements Skills & Experience Essential - Proven experience designing and delivering complex software and cloud-based solutions. - Strong hands-on software engineering and integration experience. - Experience delivering AI, machine learning or generative AI solutions in production environments. - Strong understanding of system architecture, APIs, data engineering and cloud platforms. - Demonstrated ability to evaluate and implement ML/LLM technologies against business requirements. - Experience leading client engagements from discovery through to delivery. - Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences. - Ability to operate autonomously and take ownership of technical delivery under broad direction. Desirable - Previous experience as a Forward-Deployed Engineer, Solutions Engineer, Technical Delivery Lead or similar customer-facing role. - Experience building AI applications using modern LLM, agentic AI and retrieval-augmented generation (RAG) frameworks. - Bachelor's degree or equivalent commercial experience. - Cloud platform certifications (Azure, AWS or Google Cloud). - Architecture certifications such as TOGAF or equivalent. - Experience working in consulting, professional services or technology delivery environments. Benefits - 6% Matched pension - Annual salary reviews - 25 days holiday + bank holidays + 5 day buy/sell/carry over scheme - Private Health Insurance through Vitality - Eye care - Electric car and cycle to work schemes - Enhanced parental leave - 1 month work from EMEA policy - Clear growth and progression plans - High street brand & gym discounts To see more roles, click here.