Intern - Applications Development

Company:

Description:

Marsh is seeking a talented individual to join our IT team as an Intern. This role is based in Mumbai / Pune / Noida / Gurugram. This is a hybrid role with a requirement of working at least three days a week in the office.

Designation: Engineer

IT application team is an in-house application development and support team for a suite of applications used by the Insurance Broking & Employee Benefit business

We will count on you to:

• 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.[PS1.1]

• 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.

What you need to have:

• 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.

• 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[PS2.1].

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

What makes you stand out:

• Learning Agility – you pick up new tools, patterns, and frameworks fast and apply them independently.

• Critical Thinking – you interrogate AI outputs rather than accepting them at face value; you ask "why" and "so what?"

• Adaptability – you thrive in ambiguous, rapidly changing environments where the best practice of today may be outdated by next quarter.

• Analytical Thinking – you break complex problems into structured components and reason from data and evidence.

• Collaboration – you work effectively across engineering, product, and business teams.

• Digital Literacy – you are comfortable navigating new digital tools and ecosystems with minimal handholding.

• Innovation Mindset – you actively explore new ways to do things better, faster, or with greater impact using AI.

• Prompt Engineering – ability to write, refine, and iterate effective prompts for generative AI tools to produce reliable, contextual outputs.

• LLM Foundations – understanding of how generative AI models work, their probabilistic nature, limitations, and failure modes.

• Code Verification & Quality – disciplined practice of reviewing and validating AI-generated code, not just accepting it.

• Security Hygiene – awareness of security risks in AI-assisted development, including prompt injection, data leakage, and compliance.

• Business Context – ability to align AI outputs with real business objectives and assess return on investment.

• Modern Tech Stacks – exposure to API development, front-end frameworks, server-side programming, DevOps tooling.

• Availability – openness to work in a 24x7 shift environment when required.

Why join our team:

• Work at the frontier – you will be part of a team actively integrating AI into real enterprise software, not just experimenting in a sandbox.

• Professional development – we invest in your growth through structured learning, mentoring, and access to Marsh McLennan's global development programmes.

• Inclusive culture – we foster a vibrant, diverse workplace where different perspectives drive better solutions for colleagues, clients, and communities.

• Scale and impact – with operations in 130 countries and 90,000+ colleagues, the systems you contribute to have real global reach.

• Career pathways –Interns have direct visibility to specialist AI roles, engineering tracks, and cross-functional rotations across the Marsh McLennan enterprise.