Company:
Oliver Wyman
Description:
Internal Job Posting
We are seeking a talented individual to join our Oliver Wyman team at MMC Corporate.This role will be based in Gurgaon/Pune. This is a hybrid role that has a requirement of working at least three days a week in the office.
No. Of Position - 1
Last day to apply - 11th March'26
Senior Manager – Applications Development
What can you expect:
Design, develop, and maintain robust MEAN/MERN applications in line with the organizations strategic direction.
Build and integrate LLM/SLM-based features into web applications (e.g., AI assistants, smart search, content generation, automation workflows).
Implement end-to-end AI functionality: from prompt and context design through to API integration, logging, monitoring, and optimization of model behavior.
Collaborate with a team of engineers and other stakeholders, contributing to the mentoring of junior staff and sharing best practices.
Uphold high standards of code quality, testing, documentation, and securityboth for core application code and AI integrations.
Contribute to the establishment and continual improvement of engineering and AI best practices (coding standards, patterns, guidelines).
Stay informed about technological trends in web development and AI/LLMs and share relevant insights with the team.
The work is 100% hands-on / implementation-focused.
What you need to have:
Bachelors degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field is preferred.
A strong portfolio of completed projects (especially AI/LLM-based solutions) can be considered as an alternative to formal education
3 - 5 years of professional software development experience with a focus on MERN/MEAN stack technologies.
Hands-on experience designing, integrating, or fine-tuning Large Language Model (LLM) or Small Language Model (SLM) based solutions (either via APIs or open-source models).
What makes you stand out:
· Positive attitude and ability to adapt to an ever changing environment
· An aptitude towards systems and technology
· Must be able to multi-task, to work under pressure and meet tight deadlines
· Able to work independently or with a team
· Ability to multi-task and prioritize time effectively
Technical Skills:
Core Web & Backend (MEAN/MERN)
Strong proficiency in:
HTML, CSS, JavaScript, TypeScript
Node.js, Express.js
React and/or Angular
SQL and NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL)
Experience building and consuming RESTful APIs and working with JSON-based integrations.
AI / LLM / SLM Skills
Experience with at least some of the following:
Integrating LLMs/SLMs via APIs (e.g. OpenAI, Azure/OpenAI, other hosted LLM providers) or self-hosted/open-source models.
Building AI-backed features such as chatbots, copilots, summarization, classification, semantic search, or recommendation flows.
Retrieval-Augmented Generation (RAG) patterns: vector search, embeddings, and context injection into prompts.
Basic prompt engineering: designing prompts, system instructions, and guardrails for reliable responses.
Familiarity with one or more AI/ML ecosystems is a plus (e.g. Python-based toolchains, Hugging Face, LangChain, LlamaIndex, etc.).
DevOps, Cloud, and Tooling
Experience using GitHub (or similar) for version control, pull requests, and code reviews.
Exposure to CI/CD pipelines, automated testing, and deployment workflows.
Good practical knowledge of cloud solutions (AWS preferred), ideally including:
Hosting Node.js/React/Angular services.
Deploying AI workloads or integrating with managed AI services.
Good understanding of system design, Agile methodologies, and the software development lifecycle (SDLC).
Leadership and Communication
Demonstrated ability to work collaboratively in a cross-functional team.
Experience providing guidance and support to junior engineers (pair programming, code reviews, knowledge sharing).
Effective communication skills, with the ability to clearly explain technical and AI-related concepts to both technical and non-technical stakeholders.
Capacity to take ownership of features or workstreams and support team leads in planning and execution.
Certification
Good practical knowledge of cloud solutions (AWS preferred); AWS certification is a plus.
If no certification is present, achieving the AWS Certified Cloud Practitioner within the first months of work will be a requirement for success.
AI/ML-related certifications (cloud provider or vendor-neutral) are a plus but not mandatory.
Skills and Attributes
Strong analytical and problem-solving skills, especially for debugging complex, data-driven, or AI-related issues.
Ability to work independently and as part of a team, managing priorities in a fast-paced environment.
Good communication skills and the ability to mentor less experienced colleagues.
Curiosity and dedication to continuous improvement and learning, particularly in the rapidly evolving AI ecosystem.
Eligibility:
Minimum 12 months experience as a Manager(D2)/Senior Manager (D2).
Should have at least “On Track” or equivalent rating in last appraisal
Should not be under any Performance Continuity Plan, or had any official Disciplinary action within the last 3 months
Should not have applied for any other IJP within Mercer in the last 3 months
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 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, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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.