AI Solution Specialist
Marsh & McLennan Companies3 months ago
Singapore, SingaporeMid Level
Responsibilities
- Design and architect AI solutions for knowledge assistants, document intelligence, workflow automation, decision support, and predictive analytics.
- Write clean, maintainable, production-quality Python code using best practices and design patterns.
- Develop end-to-end AI pipelines covering data preprocessing, model development, prompt engineering, retrieval workflows, and API design.
- Partner with business, product, engineering, data, and architecture stakeholders to assess requirements and deliver AI-enabled solutions.
- Prototype, test, and refine AI models, prompts, and workflows for performance, reliability, and business value.
- Ensure AI solutions comply with security, privacy, governance, and responsible AI requirements.
Requirements
- At least 4 years of experience in AI/ML development, data science, or AI engineering.
- Hands-on experience deploying AI/ML solutions in production enterprise environments.
- Strong Python proficiency and proficiency in at least one additional language such as Java, TypeScript, Scala, or Go.
- Hands-on experience with generative AI and LLM-based applications, including prompt engineering, fine-tuning, and RAG.
- Familiarity with LLM ecosystems such as OpenAI, Hugging Face, or Anthropic and vector databases such as Pinecone, Weaviate, or Milvus.
- Experience using at least one cloud platform—AWS, Azure, or GCP—to deploy AI solutions.
- Understanding of enterprise security, data governance, and responsible AI principles.
- A master's degree or advanced certification in Machine Learning, AI, Data Science, or Computer Science is preferred.
- Experience in insurance, financial services, or another regulated industry is preferred.
- Familiarity with document processing, knowledge management, intelligent automation, or intelligent search is preferred.
- Experience with MLOps, multi-agent systems, or scaling AI solutions from prototype to production is preferred.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with opportunities to create solutions and have impact.
- Range of career opportunities, benefits, and rewards supporting employee well-being.
- Hybrid work arrangement requiring colleagues to work in their local office or onsite with clients at least three days per week; office-based teams identify at least one weekly anchor day.
Tech Stack
Categories
About Marsh & McLennan Companies
Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.