We are seeking a talented individual to join our MMC Corporate team at MMC Tech .This role will be based in Noida/Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office.
Role Overview
As a Lead AI Engineer at Mercer, you will be at the forefront of our AI-driven transformation, shaping the future of intelligent solutions within our organization. You will champion best practices in AI development, foster innovation, and serve as a technical leader guiding teams to deliver impactful AI-powered products. This role requires a hands-on leader who is passionate about building scalable, reliable, and secure AI systems, while mentoring engineers and collaborating across disciplines to embed AI into our core offerings. This position emphasizes a product-focused approach, integrating AI solutions that align with organizational goals, and promoting a culture of continuous learning and innovation in AI technologies
We will count on you to:
- AI Solution Design & Development: Work closely with Architects to design, develop, and deploy scalable AI models and solutions, including machine learning, natural language processing, and prompt engineering, ensuring alignment with business objectives.
- AI Integration & Optimization: Collaborate with data scientists, data engineers, and product teams to integrate AI models into existing products and new initiatives, optimizing for performance, usability, and ethical considerations.
- Research & Innovation: Stay abreast of the latest advancements in AI, machine learning, and related fields. Drive experimentation with emerging AI frameworks, tools, and methodologies to maintain a competitive edge.
- Code Quality & Best Practices: Write and review high-quality, maintainable code, leveraging AI development tools such as GitHub Copilot, and promote practices like TDD, CI/CD, and modular design.
- AI Model Lifecycle Management: Oversee the end-to-end lifecycle of AI models— from data collection and preprocessing to training, validation, deployment, and monitoring—ensuring robustness and compliance.
- Cross-Functional Collaboration: Work closely with product managers, solutions architects, and other stakeholders to define AI requirements, develop prototypes, and deliver production-ready solutions.
- AI Governance & Ethics: Advocate for responsible AI practices, including fairness, transparency, and security, ensuring models adhere to organizational and regulatory standards.
- Thought Leadership & Community Engagement: Contribute to internal and external AI communities, sharing insights, best practices, and strategic direction for AI initiatives
What You Need to Have:
- Proven experience leading AI-focused engineering teams and delivering AI-driven products or solutions.
- Strong understanding of AI/ML frameworks such as TensorFlow, PyTorch, LangFlow, or similar.
- Extensive hands-on experience with machine learning model development, deployment, and monitoring.
- Proficiency in programming languages such as Python, JavaScript, TypeScript, C#, or others relevant to AI development.
- Experience with cloud platforms (AWS, Azure, GCP) for deploying AI solutions at scale.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for AI workflows.
- Knowledge of data engineering, data pipelines, and big data technologies relevant to AI.
- Strong understanding of AI ethics, fairness, and security considerations.
- Excellent communication skills, capable of translating complex AI concepts to technical and non-technical audiences.
- Demonstrated ability to build, mentor, and lead high-performing AI teams.
- Implement rigorous validation protocols to ensure model accuracy, robustness, and fairness.
- Develop and maintain testing frameworks for AI models, including unit tests, integration tests, and performance benchmarks.
- Establish KPIs and metrics to evaluate model performance in production environments.
- Maintain version control for datasets, models, and code to ensure reproducibility.
- Incorporate security best practices to prevent model exploitation or adversarial attacks.
- Conduct regular risk assessments related to AI system deployment.
- Integrate automated testing into CI/CD pipelines to catch issues early.
What makes you stand out?
- Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, LangFlow, etc.).
- Experience with natural language processing (NLP), prompt engineering, and generative AI models.
- Familiarity with middleware and messaging systems such as Kafka, RabbitMQ, or similar.
- Experience with cloud-native AI deployment, including serverless architectures and container orchestration.
- Strong background in software development best practices, including SDLC, TDD, CI/CD, and security.
- Working knowledge of databases (SQL, NoSQL) and data modeling for AI applications.
- Experience with modern front-end/back-end frameworks (e.g., React, Node.js, .NET) is a plus.
- Knowledge of ethical AI practices, model interpretability, and compliance standards
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.
Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s more than 85,000 colleagues advise clients in over 130 countries. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data-driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com, or follow us on LinkedIn and X.Marsh McLennan 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 McLennan 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 McLennan 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 personMarsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.Marsh McLennan 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 McLennan 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 McLennan 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.
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