Company:

Marsh

Description:

Join our Dublin-based Marsh McLennan Innovation Centre as a Sustaining Engineer supporting our Generative AI capabilities. In this role, you will focus on maintaining, supporting, and continuously improving our existing AI systems and solutions to ensure their reliability, performance, and scalability.

What You Can Expect:

• Be a key contributor to the ongoing health and enhancement of MMC’s Generative AI platforms with strong executive visibility.
• Collaborate closely with cross-functional teams to troubleshoot, resolve incidents, and optimize system performance.
• Work within an Agile environment to support production systems, implement improvements, and document processes.
• Contribute to the broader MMC Tech ecosystem by sharing knowledge and best practices.

Key Responsibilities:

• Provide day-to-day support and maintenance for Generative AI systems and related infrastructure.
• Troubleshoot and resolve system issues, incidents, and bugs in a timely manner.
• Monitor system performance and implement continuous improvement initiatives to enhance stability and efficiency.
• Document system configurations, support procedures, and incident resolutions to build a comprehensive knowledge base.
• Collaborate with development teams to implement patches, upgrades, and process optimizations.
• Establish and maintain best practices for sustaining engineering, including standards for prompt engineering and solution reuse.
• Identify opportunities to automate support tasks and improve operational workflows.

What You Need to Have:

• Experience supporting and maintaining modern software systems, ideally with exposure to frontend frameworks such as React, Vue, or Angular.
• Practical knowledge of backend technologies like NestJS, NodeJS, Python or similar stacks.
• Strong understanding of RESTful APIs and system integrations.
• Proven problem-solving skills with a focus on root cause analysis and resolution.

What Makes You Stand Out:

• Experience with Kubernetes and/or MongoDB in a production support context.
• Understanding of Large Language Models (LLMs) and their operational considerations.
• Knowledge of prompt engineering techniques and retrieval-augmented generation (RAG) as applied to sustaining AI solutions.
• Strong collaboration skills and comfort working in Agile teams.

We Will Count on You To:

• Quickly diagnose and resolve system issues while maintaining clear documentation.
• Support continuous improvement efforts by identifying and implementing enhancements.
• Collaborate effectively with developers, product owners, and other stakeholders to ensure system reliability.
• Maintain and evolve sustaining engineering practices and guidelines to improve consistency and reuse.
• Be a proactive learner, continuously improving your skills and contributing to team knowledge sharing.

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 work 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, as well as benefits and rewards to enhance your well-being.

#MMCIC

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh 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 [email protected] to discuss any specific needs.

Marsh 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 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.