AI Senior Solution Specialist

marsh (singapore) pte. ltd.; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Job summary

Marsh in Singapore is seeking a senior AI solution architect to join our Asia Digital team. This hybrid role requires on-site presence at least three days per week and focuses on turning high-value business opportunities into secure, scalable AI capabilities.

You will collaborate with business, product, engineering, data, and Global AI Architecture to design and deliver practical AI solutions for workflow optimization, document intelligence, and intelligent automation.

Qualifications

• 10+ years of technology experience in solution architecture and AI/ML engineering.
• 5+ years designing, developing, and deploying AI/ML solutions in production.
• Expert-level coding in Python with at least two other languages (Java/Scala/Go/TypeScript/C++).
• Strong enterprise architecture, cloud, APIs, microservices, and secure integration.
• Hands-on experience with generative AI, RAG, and agentic AI frameworks.
• Advanced MLOps: versioning, deployment pipelines, AI lifecycle management.
• Expertise in AI governance, bias detection, explainability, and risk management.

Responsibilities

• Design and implement end-to-end AI solutions for complex business use cases, ensuring code quality, scalability, and production readiness.
• Define solution architectures for AI initiatives across Marsh Risk Asia, aligned to business needs and governance.
• Partner with stakeholders to translate AI opportunities into scalable, supportable designs and implementations.
• Design architecture patterns and develop proof-of-concepts for AI-enabled capabilities like knowledge assistants and workflow automation.
• Write production-grade code in Python and other languages to implement AI/ML pipelines and APIs.
• Architect data pipelines, model serving strategies, and enterprise integration patterns.
• Collaborate with Global AI Architects to align local solutions with standards and platform direction.
• Evaluate AI technologies and make recommendations based on scalability, security, and business value.

Skills

Python

Java

Scala

Go

TypeScript

C++

AI/ML engineering

Data architecture

APIs & microservices

Education

Master's degree in Computer Science, Data Science, ML, AI, or related field

Tools

AWS

Azure

GCP

Job description

We are seeking a talented individual to join our Asia Digital team at Marsh. This role will be based in Singapore. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role sits at the intersection of AI engineering and enterprise solution architecture, with a focus on turning high-value business opportunities into secure, scalable, and production-ready AI capabilities. You will work closely with business, product, engineering, data, and Global AI Architecture teams to design and deliver practical AI solutions that support workflow optimization, document intelligence, knowledge enablement, decision support, and intelligent automation.

We will count on you to:

• Design and implement end-to-end AI solutions for complex business use cases, ensuring code quality, scalability, and production readiness.

• Define solution architectures for AI initiatives across Marsh Risk Asia, aligned to business needs, enterprise standards, regional priorities, and governance requirements.

• Partner with business and technology stakeholders to translate high-value AI opportunities into clear, scalable, and supportable solution designs and implementations.

• Design architecture patterns and develop proof-of-concepts for AI-enabled capabilities such as knowledge assistants, document intelligence, workflow automation, decision support, and agentic systems.

• Write production-grade code in Python and other relevant languages to implement AI/ML pipelines, model integrations, APIs, and supporting services.

• Architect data pipelines, model serving strategies, and integration patterns that support enterprise-scale AI deployments.

• Collaborate with Global AI Architects to align local solutions with enterprise architecture standards, governance expectations, reusable patterns, and platform direction.

• Evaluate AI technologies, tools, frameworks, and integration approaches and make recommendations based on scalability, maintainability, security, business value, and enterprise fit.

• Mentor and guide engineering teams on AI/ML best practices, architecture decisions, and technical excellence.

What you need to have:

• 10+ years of technology experience, including significant hands-on expertise in solution architecture, AI/ML engineering, enterprise application design, and system delivery.

• 5+ years of proven experience designing, developing, and deploying AI/ML solutions in production enterprise environments.

• Expert-level coding proficiency in Python, with strong proficiency in at least two additional programming 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 designing and implementing generative AI and LLM-based applications including prompt engineering, RAG, and agentic AI frameworks.

• Advanced MLOps experience including model versioning, deployment pipelines, and AI lifecycle management.

• Expertise in AI governance and responsible AI including bias detection, explainability, and model risk management.

What makes you stand out:

• Master's degree in Computer Science, Data Science, Machine Learning, AI, or a related field.

• Experience in insurance, financial services, or another heavily regulated industry with complex compliance requirements.

• Deep familiarity with insurance use cases such as document intelligence, claims processing, underwriting support, fraud detection, or risk modeling.

• Experience building and scaling AI systems for high throughput and low-latency requirements.

• Experience building or managing AI platform teams or establishing AI centers of excellence.

• Relevant certifications: AWS ML Specialty, Azure Solutions Architect, GCP Professional ML Engineer, TOGAF, or similar.

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.