Software Engineer w/ AI-Native Engineering

Provide AI with clear specifications, context, constraints, and expected outcomes

Direct and orchestrate AI to support implementation activities.

Use AI iteratively to explore solutions, generate implementation, identify issues, and improve outcomes

Critically evaluate AI-generated outputs and apply engineering judgment to accept, modify, challenge, or reject solutions

Own Technical Quality

Take accountability for technical quality, whether code is manually written or AI-generated

Review AI-generated code before accepting it

Verify solutions through engineering analysis, code review, automated testing, and appropriate quality controls

Ensure solutions follow agreed engineering standards and architectural principles

Address security, maintainability, performance, and reliability as part of implementation

Ensure delivered software is production-ready

Collaborate & Improve

Work closely with the Solution Analyst and other Software Engineers throughout feature delivery

Resolve questions and ambiguity continuously rather than relying on traditional handoffs

Pair test delivered functionality with the Solution Analyst against specification and acceptance criteria

Respond quickly to issues or gaps identified through validation

Continuously improve how AI is used to increase engineering effectiveness, quality, and delivery speed

Share learning and contribute to evolving AI-native engineering practices across the team

What you need to have:

3+ years software engineering experience

Strong programming and software engineering fundamentals, with hands-on experience in.NET / C#

Experience designing, developing, testing, and maintainingproduction softwarein enterprise environments

Good understanding of application architecture, APIs, data structures, data modeling, and integration patterns

Experience with modern delivery tooling such asAzure DevOps

Strong understanding of source control,CI/CD, and modern software delivery practices

Strong debugging, analytical, and problem-solving skills, including the ability to assess issues from a broader system perspective

Experience withautomated testingand understanding of where different validation approaches are most effective across the software lifecycle

Awareness ofsecurity, performance, reliability, and observabilityprinciples

Ability to make sound engineering decisions independently within established architectural patterns and guardrails

Practical experience usingAI-assisted engineering tools, with the ability to critically review, refine, and improve AI-generated solutions

Strong collaboration, communication skills, and learning agility

What makes you stand out?

Experience building or contributing to internal tools, shared engineering capabilities, automation frameworks, or developer productivity solutions

Experience withPython(tooling, scripting, automation, integration, workflow orchestration)

Exposure to AI-enabled integrations, copilots, workflow automation, or intelligent engineering tools

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 an 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;

A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);

30+ days off(including legal days, birthday, public holiday replacements, and benefits options);

Performance bonus scheme;

Matching charity contributions, charity days off, and thePay it Forwardcharity challenge;

Core benefits:Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance

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 $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating 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, or any other characteristic protected by applicable law.

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.