AI, Automation, Engineering & GTM Talent.

About the job MRJ have partnered with one of the UK's leading technology driven organisations as they continue to invest heavily in AI, Automation and enterprise-wide digital transformation. This is an opportunity to shape the future architecture of the business is they look to embrace AI, automation and cloud technologies at scale. Working as part of a newly established AI Centre of Excellence, you'll design enterprise solutions that have genuine business impact across multiple functions. If you're passionate about AI, enterprise architecture and solving complex business challenges through technology, this is a fantastic opportunity to influence strategy while remaining close to delivery. The Role: We're looking for an experienced Senior Solution Architect to lead the design of AI-powered and Intelligent Automation solutions across a large-scale enterprise. You'll work closely with business stakeholders, Product Owners, Technical Architects and Engineering teams to translate complex business requirements into scalable technology solutions aligned with long-term strategic objectives. This is a highly influential role where you'll help define architectural standards, shape technology roadmaps and ensure AI solutions are secure, scalable and commercially effective. Day-to-day Responsibilities: Design end-to-end enterprise solutions across AI, Generative AI and Intelligent Automation. Define solution architectures that align with business strategy, architecture principles and technology standards. Partner with Product Owners, Engineering teams and senior stakeholders to translate business challenges into technology solutions. Design integration strategies across APIs, microservices, enterprise platforms and cloud environments. Guide engineering teams through delivery, ensuring solutions remain aligned with architectural standards. Define AI architecture principles, governance and best practice across the organisation. Produce high-level and detailed solution designs, technical documentation and architecture artefacts. Identify technical risks, security considerations and scalability challenges throughout delivery. Contribute to technology roadmaps and evaluate emerging technologies to support future innovation. Coach and mentor Solution Architects while helping develop the wider Architecture function. What They're Looking For: Proven experience as a Solution Architect, Software Architect or Enterprise Architect. Strong experience designing enterprise AI, Automation or Generative AI solutions. Excellent understanding of cloud platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Knowledge of Enterprise Architecture frameworks such as TOGAF. Experience producing architecture documentation, standards and governance. Strong stakeholder management with the ability to communicate technical concepts to both technical and non-technical audiences. Passion for innovation with the ability to balance technical excellence against commercial delivery. Next Steps If you're passionate about Enterprise Architecture, AI and Intelligent Automation, and want to play a key role in delivering large-scale transformation programmes, we'd love to hear from you.

Posted 3 weeks ago

Delivery Manager | Manchester (Hybrid) Join a business right at the beginning of their AI journey!! "We are building a new AI capability from the ground up as part of a wider transformation of the business and this is an opportunity to join right at the beginning of our journey: shaping the strategy, foundations, delivery approach and culture rather than inheriting somebody else's playbook." The role summary: As the Delivery Manager for this team, you will bring structure, momentum and transparency to a new portfolio of AI initiatives. Working at the centre of the new team, you will connect business priorities with product, design, architecture, engineering, data, testing, security and operational change. AI delivery is rarely linear: discovery, experimentation, evaluation and productionisation often overlap. You will introduce the right level of discipline without slowing learning down. Your focus will be on outcomes, dependencies, decisions, risks and adoption, ensuring teams are solving worthwhile problems and that working solutions land safely in the business. What you will be excpted to do (responsibilities): Set up and run the end-to-end delivery approach for the first wave of AI products and automation initiatives. Turn strategic priorities into clear delivery plans, milestones, dependencies, ownership and measurable outcomes. Coordinate multidisciplinary teams across product, design, AI, engineering, data, architecture, QA, security, legal and operations. Create a disciplined route from problem discovery and proof of value through production, rollout and benefits realisation. Manage delivery risks specific to AI, including uncertain model performance, data readiness, evaluation, safety, cost and third-party dependencies. Establish effective governance, reporting and decision forums while protecting the team's ability to move quickly. Remove blockers, manage cross-programme dependencies and ensure decisions are made at the right level. Plan pilots, phased rollouts, operational readiness, training, communications and business adoption. Track whether delivered solutions are being used and whether they are producing the intended customer, colleague or commercial value. Help shape delivery capability, ways of working and resourcing as the AI team grows. The ideal person we are looking for: With a track record in agile project & programme delivery, it is expected that you will offer: A strong record of leading complex AI, technology or digital projects across multidisciplinary teams. Experience taking new products, platforms or automation from discovery into production and operational adoption. Comfort working with ambiguity, experimentation and changing evidence while maintaining clear accountability. Strong understanding of modern software delivery, cloud platforms, data dependencies, testing and release management. Excellent stakeholder leadership, with the confidence to challenge priorities, surface difficult trade-offs and secure decisions. Commercial awareness and a relentless focus on benefits, user adoption and measurable outcomes. The ability to create clarity and pace without burdening a new team with excessive process. Why join and next steps: You will have genuine influence, visibility and the space to build well from day one. The team will tackle meaningful business problems, combining rapid experimentation with the standards required to make AI secure, trusted and valuable at scale. If you enjoy creating clarity where there is ambiguity and want your work to shape an organisation's future, this is a rare opportunity to do exactly that. Apply today, we are looking to move quickly - the quicker we build the team, the quicker we can start moving ahead with the AI plan.

Posted 3 weeks ago

Senior Architect | Manchester (Hybrid) Join a business right at the beginning of their AI journey!! "We are building a new AI capability from the ground up as part of a wider transformation of the business and this is an opportunity to join right at the beginning of our journey: shaping the strategy, foundations, delivery approach and culture rather than inheriting somebody else's playbook." The role You will define how AI fits into the organisation's wider technology landscape and turn high-value business opportunities into production-ready solutions. Joining at the very beginning of the journey, you will set the architectural direction, create the standards others build against and remain close enough to delivery to prove what works. This is not a purely advisory architecture role. You will work across technology, data, security, product and operations to design and shape AI-enabled products, services and workflows. You will make pragmatic decisions across models, agents, applications, integrations, data and cloud infrastructure, balancing pace with security, reliability, cost and long-term maintainability. What you will do Define the target architecture and technical roadmap for the organisation's AI capability. Translate business problems into clear solution designs, architectural options and delivery increments. Design end-to-end AI solutions spanning data, models, retrieval, agents, applications, APIs, integrations and cloud services. Establish reference architectures, reusable patterns and guardrails for generative AI, RAG, intelligent automation and agentic workflows. Lead technical discovery and rapid proofs of value, then shape the route from prototype to production. Set expectations for security, privacy, observability, resilience, evaluation, human oversight and responsible AI. Assess model, platform and vendor options, including build-versus-buy decisions, commercial implications and lock-in risk. Partner with engineering and delivery teams through implementation, resolving design decisions without creating unnecessary governance. Communicate complex architecture clearly to executives, delivery teams and non-technical stakeholders. Help build the team, engineering culture and technical capability needed to scale AI across the business. What we are looking for A strong track record designing and delivering complex cloud-based solutions into live production environments. Practical experience with modern AI solution patterns such as LLM applications, RAG, agents, orchestration, prompt and model evaluation, and AI-enabled automation. Strong understanding of integration architecture, APIs, event-driven systems, identity, data platforms and enterprise security. The judgement to choose the simplest viable architecture while keeping a clear path to scale. Experience taking experimental or emerging technology through assurance, operational readiness and production adoption. Confidence influencing senior leaders while remaining credible and collaborative with hands-on engineers. A product mindset: focused on users, measurable value and continuous learning rather than technology for its own sake. Why join and next steps: You will have genuine influence, visibility and the space to build well from day one. The team will tackle meaningful business problems, combining rapid experimentation with the standards required to make AI secure, trusted and valuable at scale. If you enjoy creating clarity where there is ambiguity and want your work to shape an organisation's future, this is a rare opportunity to do exactly that. Apply today, we are looking to move quickly - the quicker we build the team, the quicker we can start moving ahead with the AI plan. Skills Artificial Intelligence (AI) Large Language Models (LLM) Machine Learning MLOps Retrieval-Augmented Generation (RAG) Intelligent Agents Application Programming Interfaces (API) Data Warehousing

Posted 3 weeks ago