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Marsh

Marsh

1 posting · 1 open role

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About Marsh

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.

Job posts (1)

Explore Exciting Fresher & Experienced Roles at Marsh

Posted October 12, 2026 · 1 role

Interns Applications Development

Fresher
Mumbai, PuneGraduate in 2027

Skills

PythonJavaScriptJavaC#SQLNoSQL

Qualification

  • B.E. / B. Tech degree (Computer Science, Information Technology, or related engineering discipline).

  • Minimum 60% aggregate in Graduation and Post Graduation.

  • Will Graduate in 2027  with no active backlogs in any subject.

Skills Required

  • Hands-on exposure to at least one modern programming language – Python, JavaScript, Java, C#, or equivalent.

  • Strong understanding of AI/ML and generative AI concepts, including LLM behavior, prompting, retrieval, evaluation, limitations, and common failure modes.

  • Working knowledge of SQL and/or NoSQL databases

  • Demonstrated practical application of AI in at least one project, prototype, workflow, or use case beyond code generation.

Roles & responsibilities

  • Collaborate with cross-functional teams to design, build, integrate, test, and support high-quality AI-enabled solutions that deliver practical business outcomes.

  • Harness AI-powered developer tools – including coding assistants such as GitHub Copilot, Claude, and Gemini – and integrate LLM APIs as active accelerators across your day-to-day development workflow, not as an afterthought.

  • Apply prompt design and structured interaction techniques to obtain reliable, contextual outputs from generative AI systems for practical engineering and business use cases.

  • Verify and validate AI-assisted outputs for correctness, relevance, logic, security, privacy, performance, and fitness for purpose before they are used in production or decision-making.

  • Participate in the full lifecycle of AI-enabled solution delivery, including problem framing, design, integration, testing, deployment, monitoring, and support.

  • Document solution assumptions, design decisions, guardrails, validation approach, and technical rationale for AI-enabled features and workflows, and support business process improvement initiatives.

  • Learn and apply best practices in software engineering, Agile/Scrum, and DevOps within an AI-augmented team.

  • Adapt quickly to a fast-changing AI-enabled project environment, demonstrating resilience and a growth mindset.