Lead Domain Architect AI

Company:

Marsh

Description:

What you can expect:

Join our Global Architecture function as we look to empower a highly skilled and innovative Lead Architect to help spearhead the development of cutting-edge digital products and MCP-based AI Agents to enhance colleague productivity and client engagement across our Global broking businesses.

You will be responsible for acting as a Global advisor in relation to AI technologies and solutions guiding Solution Architects Technical Leaders Developers in building functionally rich scalable secure and user-centric solutions that deliver advanced AI capabilities into our Enterprises application estate.

You will provide assurance over all new AI related solutions ensuring that they are built with best practices focussed on security performance maintainability reusability and in alignment with Marsh and MMC standards guidelines and principles.

We will look for you to bring a make it happen approach to your work as this role is critical to the success of Marsh and will have the visibility of our Global leadership teams.

Reporting to our Head of Architecture (London) this role will be based out of Dublin office location on a hybrid working pattern.

As you will joining our Global Architecture community you will be expected to be flexible with your working pattern as your colleagues will be based in Central Europe Asia/Pacific and the Americas.

Within your first 3-12 months you will evaluate existing projects assess the required AI capabilities define and drive the AI target landscape and creating roadmaps that deliver the necessary functionality to drive the business.

Employee and company sponsored training will allow you to keep abreast of current technologies - we feel it is important that we always strive to expand grow and learn.

What you need to have:

• Extensive Solution or Enterprise Architecture experiencewith hands on experience of architectural design and implementation of solutions using Cloud Platforms (AWS Azure GCP) API integrations containerization (Kubernetes) Python FastAPI.
• Expertise in developing and deploying enterprise-grade Generative AI solutions such as LLMs RAG architectures MCP and multi-modal AI applications.
• Deep knowledge of LLMs (GPT Claude LLaMA Mistral etc.) prompt engineering agent memory tool calling and autonomous task execution.
• A strong background in or knowledge of Software Development delivery.

What makes you stand out:

• Experience collaborating with colleagues of different countries & cultures.
• Excellent communication and collaboration skills with the ability to articulate complex technical concepts to diverse audiences.
• Strong Understanding of AI observability performance monitoring and ethical guidelines in GenAI systems.
• Innovative thinking and designing creative solutions to complex technical challenges.
• An understanding of Insurance Broking or Risk Management processes and solutions.

We will count on you to:

• Become our Subject Matter Expert on AI-based technologies and solutions.
• Act as a trusted advisor to Senior Operations and Technology colleagues evangelising about AI and its practical application within our business.
• Research AI technical advancement and practical use cases assessing the potential benefit to our Client and Operations areas.
• Take ownership for proof-of-concept projects to validate benefits coordinating with business units and service providers.
• Provide critical review and feedback on AI related proposals and initiatives providing technical expertise for projects on a consulting and troubleshooting basis.
• Perform assurance over AI components and services that are developed by our Solution Architecture and technical delivery teams.
• Ensure quality of technology deliverables by contributing to and communication of standards and best practices for development quality assurance security and service on-boarding.
• Keep current with industry trends (including solution architecture frameworks and patterns emerging technologies best practices); communicate opportunities to benefit from new trends and technologies to leadership and business unit peers and leaders.
• Advise and mentor technology colleagues and team members on technology skills principles and processes/technologies to leadership and business unit peers and leaders.

Why join our team:

• We help you be your best through professional development opportunities interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can collaborate with talented colleagues to create new solutions and have impact for colleagues clients and communities.
• Our scale enables us to provide a range of career opportunities.

#MMCIC

Marsh McLennan (NYSE: MMC) is a global leader in risk strategy and people advising clients in 130 countries across four businesses: Marsh Guy Carpenter Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90000 colleagues Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information visit or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background disability ethnic origin family duties gender orientation or expression marital status nationality parental status personal or social status political affiliation race religion and beliefs sex/gender sexual orientation or expression skin color Traveller community or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs.

Marsh McLennan is committed to hybrid work which includes the flexibility of working remotely and the collaboration connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.