Job description

Here at evoke plc we're looking for a highly motivated AI Enterprise Architect to lead the integration of AI and enterprise technology solutions. This role requires a strategic technical vision and technical expertise in designing scalable architectures, aligning business objectives with advanced technologies to create exciting innovative AI based systems.

Responsibilities include exploring new technologies, defining architectural visions, strategies & designs and implementing POCs.

You'll have previous experience with high-volume systems and designing scalable solutions and a good knowledge of streaming architectures, cost analysis, performance tuning, and quality of service.

You'll have a broad vision of technological systems, understanding long-term implications, familiarity with micro-frontend patterns and mobile development best practices and be able to provide technical leadership in selecting the right tools, frameworks, and methodologies for AI.

You'll also be mentoring and guiding development teams during the implementation phase, ensuring adherence to best practices and architectural guidelines whilst acting as a subject matter expert on AI, trends, toolsets, and industry best practices.

What you will be doing:

• Build and maintain the enterprise architecture vision, aligning it with organisational goals and future technological trends whilst Designing scalable and flexible intelligent solutions that leverage AI, machine learning (ML), and other emerging technologies.
• Ensure domain-driven data architecture evolution.
• Research and adopt new architectural technologies and techniques, managing and implementing Proof of Concepts (POCs).
• Collaborate with R&D managers, AI & automation teams, IT teams, and solution architects to plan/design technological solutions, support development processes, and ensure seamless integration of AI solutions with current IT infrastructures.
• Work with third-party service providers throughout the RFP, POC, and implementation stages, maintaining strong vendor communication.
• Assist with optimisation and scalability improvement efforts by identifying and analysing areas for improvement across enterprise systems.
• Provide support during major production incidents or potential problem-solving sessions to ensure system stability and effectiveness.
• Develop a comprehensive technological roadmap that reflects both current and future enterprise needs and guide, consult, and train cross-functional teams while maintaining a systematic and long-term vision for organisational architecture.

• In-depth knowledge of complex development systems and high-volume architectures, focusing on reliability and performance at scale with proven experience designing and implementing AI solutions in complex enterprise environments
• Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training
• Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity with microservices, event sourcing, and containerisation (e.g., Docker, Kubernetes). And experience with CICD pipelines, Git flow, and monitoring/logging tools like ELK
• Advanced experience and understanding of cloud computing technologies in particular as AWS integration with experience adopting new technologies and platforms with the ability to decompose monolithic systems into microservices and implement relevant infrastructure such as API gateways and aggregator.

• Family Support Industry-leading maternity and paternity leave and paid time off if you have caring responsibilities.
• Perks and discounts- Discounts at a range of high-street retailers
• Financial compensation, pension, and bonus schemes.
• Health & wellbeing Tools and services to help support your well-being, including support with mental health and financial education. You will also have access to gym discounts and our cycle to work scheme.
• Hybrid working Our employees can work from home up to 80% of the time with 20% of office time built in to ensure we get some face-to-face collaborative team time - and the chance for a coffee and a catch-up!