Capco Logo

Capco

AI Engineer

Posted 20 Days Ago
Be an Early Applicant
Hybrid
Singapore, SGP
Expert/Leader
Hybrid
Singapore, SGP
Expert/Leader
Build and deploy production-grade AI solutions for insurance and financial services, including multi-agent workflows, LLMs, RAG systems, neural networks, and automation pipelines. Responsibilities include model training and optimization, backend development, cloud deployment, production monitoring, regulatory compliance, ethical AI, troubleshooting, code reviews, and collaboration with technical and business stakeholders.
The summary above was generated by AI

Capco

Capco is a leading global technology and management consultancy that excels in driving digital transformation within the financial services and insurance sectors. With an unwavering commitment to delivering practical solutions, we empower our clients to navigate the complexities of today's fast-paced market. Our integrated services span across major financial hubs worldwide, ensuring that we are always close to our clients and their needs.

At Capco, we possess not only the expertise but also the vision and passion necessary to lead transformative change. As we embark on an exciting growth journey, this is the perfect moment to join our team. We are expanding geographically, increasing our workforce, and poised to disrupt the consulting landscape across APAC with our entrepreneurial spirit and agile methodologies.

About the Role

We are thrilled to introduce an opportunity for a talented AI Engineer to join our Singapore team. This role is designed for a technology innovator who thrives on solving complex challenges and is passionate about building AI-driven solutions that transform the Financial Services industry. As an AI Engineer at Capco, you will play a pivotal role in shaping the future of insurance by leveraging cutting-edge AI technologies to deliver intelligent, scalable, and compliant solutions. Your work will enable our clients to unlock new efficiencies, enhance customer experience, and stay ahead in a rapidly evolving digital landscape. If you are excited about applying advanced AI techniques to real-world business problems and driving measurable impact, we want you on our team.

Key Responsibilities

  • Build multi-agent workflows to optimize business processes within insurance.
  • Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.
  • Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution.
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.
  • Ensure AI models adhere to banking regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices.
  • Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.
  • Strong experience delivering production-grade applications, backend services and technical components that support data, workflow, automation or AI-driven solutions.
  • Participate in code reviews, agile ceremonies, and CI/CD processes.

Experience and Qualifications

  • 3–12 years of professional experience in AI/ML engineering, with a focus on software development and deployment.
  • Build and integrate components for LLM, RAG, search, agent-based and automation solutions,
  • Strong software engineering experience with Python, Java, React Next, Node.js
  • Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.
  • Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using frameworks like LangChain, LangGraph, or ADK.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.
  • Solid understanding of machine learning concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation.
  • Experience with version control systems (e.g., Git) and agile methodologies.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

  • Experience in financial services domains 
  • Familiarity with big data tools (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
  • Knowledge of graph databases and knowledge graphs.
  • Understanding DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows.
  • Publications, open-source contributions, or certifications in AI/ML.
  • Strong communication skills for presenting technical concepts to non-technical stakeholders.

ELIGIBILITY TO WORK IN SG

Applicants must have unrestricted working rights in Singapore. Only Singapore Citizens and Singapore Permanent Residents (PRs) will be considered. Employment Pass sponsorship is not available for this role.

Capco Singapore, Singapore, SGP Office

One George Street, 1 George Street #15-06, Singapore, Singapore, 049145

Similar Jobs at Capco

2 Days Ago
Hybrid
Singapore, SGP
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Lead technical delivery of a bank’s Data Product Marketplace, overseeing scope, roadmaps, budgets, risks, dependencies, Agile delivery, integrations, governance, metadata, lineage, and data quality capabilities. Coordinate engineering, architecture, platform, governance, security, and business teams while reporting progress and decisions to senior stakeholders. The role requires extensive enterprise technology project management experience, data platform expertise, strong stakeholder communication, and familiarity with regulated financial services environments.
Top Skills: AgileCloud ComputingData GovernanceData LineageData ManagementData PlatformsData Product MarketplaceData QualityDevOpsDevsecopsMetadata ManagementSystem Integration
6 Days Ago
Hybrid
Singapore, SGP
Expert/Leader
Expert/Leader
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Leads functional consulting and solution delivery for commodities trading and risk management platform implementations. Responsibilities include requirements discovery, process and solution design, platform configuration, integration, data migration, testing, governance, go-live, stakeholder management, and team mentoring. The role requires deep knowledge of physical and financial commodity trading, CTRM/ETRM systems, trade lifecycle, valuation, risk, settlements, and related business processes, plus contributions to proposals and consulting practice development.
Top Skills: AllegroAPIsCtrmEkaEnterprise Reporting SystemsErp SystemsEtrmIon CommoditiesMarket Data PlatformsOpenlink EndurRightangleSQL
6 Days Ago
Hybrid
Singapore, SGP
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Delivers CTRM/ETRM implementation and transformation projects for commodities trading organizations. Responsibilities include requirements gathering, business process analysis, functional design, platform configuration, integrations, data migration, testing, trade lifecycle validation, and implementation support. The consultant works across trading, risk, operations, logistics, finance, and settlement processes, facilitates stakeholder workshops, manages workstreams, resolves functional issues, and supports go-live activities. Strong commodities domain knowledge and experience with physical or financial trading workflows are required.
Top Skills: AgileAllegroAPIsConfluenceCtrmEkaEtrmExcelIon CommoditiesJIRAOpenlink EndurRightangleSAPSQL

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account