AI Agentic Architect

Marionete is an independently minded, entrepreneurial technology consultancy helping clients exploit tomorrow’s technology to find unexpected solutions to today’s business problems. We are seeking an ideal candidate who embodies our core values of partnership, excellence, respect and integrity, stewardship and solution centric.

We’re looking for a seasoned platform or solution architect with strong foundations in enterprise platforms and data and architecture design in a large enterprise environment. The role focuses on the design and enablement of AI-powered and agentic systems, with a particular emphasis on leading architectural design for managing AI risks and controls in compliance with industry standards and security policies and frameworks.

You’ll be shaping how to adopt and scale intelligent automation, language models, and agentic AI capabilities across both customer-facing products and internal operations. You’ll define architecture patterns, guide delivery teams, and work closely with security, engineering, product, and data colleagues to bring intelligent assistants, copilots, and workflow-optimising AI systems to life.

• Defining and evolving the enterprise GenAI and broader AI architecture roadmap;
• Leading the architectural design of an enterprise AI Trust and Controls layer to manage AI Trust risks, such as Data risks (e.g. toxicity, sensitive data leakage), Prompting risks (e.g. prompt injection, jail breaking), Application and Security risks (e.g. insecure output handling, poisoned model usage);
• Innovating and reimagining business processes to take competitive advantage via the use of AI;
• Leading the design of enterprise solutions that embed LLMs, GenAI, and agentic automation into business workflows;
• Liaising with integration teams to support design and delivery end-to-end across structured and unstructured data sources and platforms, such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, ServiceNow, Workday;
• Providing technical leadership and guidance for pilot and solution delivery teams, building reference implementations and scaling successful patterns;
• Partnering with security, platform and engineering teams to enable LLMOps and AgenticOps capabilities - prompt lifecycle management, model observability, caching, evaluation and governance;
• Contributing to the growth of an AI-ready architecture practice, including knowledge sharing and reference implementation development;
• Collaborating with business teams to identify and shape use cases for AI-powered automation, intelligent summarisation, triage, classification, and advisory systems;
• Supporting integration with messaging systems, event-driven architectures, and API ecosystems as part of AI solution delivery.

Strong understanding of AI Gov Ops and AI Observability market landscape (such as solutions, frameworks and libraries) and architectural approaches to implementation of preventative, detective and corrective AI risk controls; Working knowledge of AI governance frameworks such as ISO/IEC 42001, NIST AI RMF, or EU AI Act and an understanding of responsible AI frameworks and ethical principles for design; Strong solution architecture experience in enterprise environments, ideally spanning cloud, data, API integration, and business applications; Experience designing and/or integrating AI-powered systems into operational workflows including intelligent assistants, generative search, intelligent summarisation, automation platforms, or AI-enabled UIs; Knowledge of GenAI models and GenAI application patterns including retrieval-augmented generation (RAG) and agent-based architectures, and orchestration frameworks; Experience with messaging technologies, event mesh concepts, and API-driven integration; Strong stakeholder engagement skills: ability to work across architecture, security, business, engineering, and data teams (data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions; Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure Databricks or alternatives; Knowledge of architectural patterns for secure access to both structured and unstructured data, including classification, masking, and policy enforcement.

Competitive salary package; Hybrid position; Health insurance and life insurance; Financial support for personal development and training; Company pension contribution; EV scheme and bike scheme; Relaxed dress code at the Marionete offices; An abundance of career paths and opportunities in which to advance; A friendly, supportive, flexible and hybrid work environment.

Marionete believes in providing equal employment opportunities to everyone. We do not practice and will not tolerate discrimination on the basis of race, skin color, ethnicity, national origin, gender, sexual orientation, marital status, maternity, religion, age, disability, gender identity, results of genetic testing, or service in the military. By applying to Marionete vacancies, you agree that your data and CV remain secure and confidential with your application. Marionete is a company in compliance with General Data Protection Regulation (GDPR).