AI Senior Solution Specialist
Marsh & McLennan Companies3 months ago
Singapore, SingaporeSenior
Responsibilities
- Design and implement end-to-end AI solutions for complex business use cases with production-ready code, scalability, and quality.
- Define solution architectures for AI initiatives across Marsh Risk Asia in alignment with business needs, enterprise standards, governance, and regional priorities.
- Translate business opportunities into scalable and supportable AI solution designs and implementations.
- Develop proof-of-concepts and architecture patterns for knowledge assistants, document intelligence, workflow automation, decision support, and agentic systems.
- Build AI/ML pipelines, model integrations, APIs, and supporting services using Python and other programming languages.
- Architect data pipelines, model-serving strategies, and integration patterns for enterprise-scale AI deployments.
- Evaluate AI technologies, tools, frameworks, and integration approaches based on scalability, maintainability, security, business value, and enterprise fit.
- Collaborate with Global AI Architects and mentor engineering teams on AI/ML practices, architecture decisions, and technical excellence.
Requirements
- 10+ years of technology experience, including significant hands-on experience in solution architecture, AI/ML engineering, enterprise application design, and system delivery.
- 5+ years of experience designing, developing, and deploying AI/ML solutions in production enterprise environments.
- Expert Python proficiency and strong proficiency in at least two additional languages such as Java, Scala, Go, TypeScript, or C++.
- Strong background in enterprise solution architecture, cloud platforms, AI/ML frameworks, APIs, microservices, data architecture, and secure enterprise integration patterns.
- Hands-on experience building generative AI and LLM-based applications, including prompt engineering, RAG, and agentic AI frameworks.
- Advanced MLOps experience covering model versioning, deployment pipelines, and AI lifecycle management.
- Expertise in AI governance and responsible AI, including bias detection, explainability, and model risk management.
- A master's degree in Computer Science, Data Science, Machine Learning, AI, or a related field is preferred.
- Experience in insurance, financial services, or another heavily regulated industry is preferred.
- Experience with insurance use cases, high-throughput and low-latency AI systems, AI platform teams, or AI centers of excellence is preferred.
- Relevant certifications such as AWS ML Specialty, Azure Solutions Architect, GCP Professional ML Engineer, or TOGAF are preferred.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with opportunities to create solutions and have impact.
- Career opportunities, benefits, and rewards intended to support employee well-being.
- Hybrid work arrangement in Singapore requiring at least three days per week in the local office or onsite with clients; office-based teams also 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.