Scale Engineer

Senior AI Engineer, Data Analytics

Senior AI Engineer · Senior · Full Time

SG - SingaporeSGD 180k – 280k1mo ago
Apply for this role

Opens Airwallex's application page

Role

What you'll do.

Senior AI Engineer in Data Analytics at Airwallex leading the design and deployment of agentic AI systems that power customer-facing analytics products. This role combines deep AI engineering expertise with strong data engineering foundations, requiring production experience building AI agents, data pipelines, and data models to answer complex business questions with reliability and accuracy in a fintech environment.

Responsibilities

  • Design and Deploy AI Agent Systems: Architect, build, and ship production-grade agentic AI applications and agent harnesses that reliably answer business questions over governed data. Focus on creating scalable systems that translate complex business requirements into technical implementations with measurable reliability standards.
  • Develop Core Agent Capabilities: Engineer foundational agent capabilities including retrieval-augmented generation (RAG), natural-language-to-query translation, and dynamic tool or function calling mechanisms. Ensure these capabilities integrate seamlessly with downstream data systems and maintain consistency across the platform.
  • Enhance AI Output Quality and Reliability: Improve AI system accuracy and robustness through systematic prompt engineering, advanced context engineering, comprehensive evaluation frameworks, output guardrails, and continuous quality measurement. Establish and track metrics that demonstrate model performance improvement over time.
  • Build Governed Data Foundations: Collaborate cross-functionally to design and maintain governed metrics, semantic data models, and reliable data pipelines that enable agents to reason over consistent, accurate, and secure business data. Ensure data quality standards meet financial services compliance requirements.
  • Implement Security and Data Governance: Apply enterprise-grade data governance and security practices including sensitive data handling, access control policies, and data isolation mechanisms. Ensure all systems comply with financial services regulatory standards and best practices for multi-tenant data architecture.
  • Drive Technical Excellence and Leadership: Contribute strong technical judgment to architectural decisions and code reviews, establish high engineering standards across the AI team, and mentor teammates in AI systems thinking. Elevate the technical bar through knowledge sharing, best practices documentation, and collaborative problem-solving.

Qualifications

What we look for.

Technical

  • Production AI Systems Development

    Hands-on expertise building, training, and deploying agentic AI applications in production environments. Proven ability to move AI systems from proof-of-concept to reliable production services with monitoring, reliability, and performance optimization.

  • AI Quality and Evaluation

    Deep experience improving AI system accuracy and reliability through multiple methodologies: evaluation frameworks, output guardrails, quality measurement, prompt optimization, and systematic testing. Familiarity with techniques like few-shot learning, chain-of-thought prompting, and RAG optimization.

  • Data Engineering Fundamentals

    Solid foundation in data modeling, data pipeline architecture, and data quality principles. Understanding of how to design data systems that support reliable AI inference, including schema design, data lineage tracking, and metadata management.

  • Python and SQL Proficiency

    Strong Python programming capabilities for building AI systems, data processing, and backend services. Advanced SQL expertise for complex data queries, aggregations, and optimization. Comfortable with both development and data analysis workflows.

  • Software Engineering Practices

    Demonstrated mastery of core software engineering principles: version control, testing strategies, code review processes, system design, and deployment automation. Ability to ship reliable, maintainable code in collaborative team environments.

Education

  • Bachelor's Degree in Technical Field

    Bachelor's degree in Computer Science, Mathematics, Finance, Engineering, or closely related field. Educational foundation should provide strong theoretical understanding of algorithms, data structures, and mathematical foundations relevant to AI and data systems.

Experience

  • 5+ Years Production Software Development

    Minimum 5 years of professional experience building production software systems, including AI applications, data pipelines, and data models. Experience should demonstrate progression from individual contributor to ownership of meaningful technical problems end-to-end.

  • Shipping Reliable AI and Data Products

    Proven track record of successfully delivering AI and data products to production that are used by internal or external customers. Demonstrated ability to translate ambiguous business requirements and product needs into clear technical solutions with measurable impact.

  • Cross-Functional Collaboration

    Experience working across product, data science, and infrastructure teams to align on technical requirements, data models, and system architecture. Ability to influence and make decisions with incomplete information while balancing multiple stakeholder needs.

Skills

Required

  • LLM and Agentic AI

    Hands-on experience with modern large language models, retrieval-augmented generation frameworks, agent orchestration patterns, and prompt engineering. Understanding of LLM capabilities, limitations, and strategies for reliability at scale.

  • Python

    Advanced Python development for building AI systems, data processing pipelines, and backend services. Proficiency with relevant libraries and frameworks for machine learning and data engineering workflows.

  • SQL and Data Modeling

    Strong SQL query development and optimization. Data modeling expertise including schema design, dimensional modeling, and data warehouse architecture. Ability to design data structures that support AI inference patterns.

  • Data Pipeline Architecture

    Experience designing and implementing reliable data pipelines that extract, transform, and load data for AI systems. Understanding of batch processing, streaming concepts, and data quality validation techniques.

  • AI System Evaluation and Testing

    Expertise in evaluating AI system performance through metrics, benchmarking, and quality measurement. Understanding of evaluation frameworks, test design for language models, and guardrail implementation strategies.

  • Software Engineering Fundamentals

    Mastery of core software engineering practices including version control, code review, testing strategies, system design principles, and deployment automation in collaborative environments.

Preferred

  • Semantic and Metrics Layer Architecture

    Nice to have

    Experience defining, maintaining, and documenting semantic layers or metrics layers that provide a unified business logic foundation. Knowledge of tools and patterns for creating consistent data definitions across organizations.

  • Data Governance and Security

    Nice to have

    Practical experience implementing data governance frameworks, metadata management systems, and enterprise data security practices. Familiarity with access control, data lineage tracking, and compliance requirements in regulated environments.

  • Modern Cloud Data Platforms

    Nice to have

    Hands-on experience with cloud-native data platforms such as Databricks, and experience with transformation frameworks like dbt and Apache Spark. Understanding of cloud-native architecture patterns for scalable data systems.

  • Streaming and Event-Driven Data

    Nice to have

    Experience building high-throughput streaming data pipelines using technologies like Apache Kafka, Apache Flink, or change-data-capture tools. Understanding of real-time data architecture patterns and state management.

  • Multi-Tenant Product Development

    Nice to have

    Experience building secure customer-facing or multi-tenant SaaS products with enterprise-grade access control, data isolation, and security architecture. Understanding of tenant isolation strategies and compliance considerations.

  • Analytics Infrastructure

    Nice to have

    Experience with specialized analytics technologies including low-latency query engines like ClickHouse or similar systems. Knowledge of columnar storage, query optimization, and real-time analytics architectures.

  • Fintech Industry Knowledge

    Nice to have

    Prior experience in fintech, payments platforms, or other financial services environments. Familiarity with compliance requirements, transaction processing, regulatory frameworks, and financial data semantics.

Tech stack

Languages

PythonSQL

Frameworks

LLM Frameworks and OrchestrationApache Sparkdbt (Data Build Tool)

Databases

Cloud Data WarehousesClickHouseRelational Databases

Tools

KafkaApache FlinkChange Data Capture (CDC)Git and Version ControlCI/CD Platforms

Other

Data Governance and Metadata ManagementEnterprise Security and ComplianceAI System Evaluation and Monitoring

Compensation

Pay and benefits.

Base·SGD 180,000 – 280,000

Equity·Stock options

Benefits

  • Competitive Compensation and Equity

    Competitive salary reflecting senior AI engineer market rates in Singapore, complemented by equity participation in a unicorn-backed fintech company valued at USD 8 billion with clear growth potential.

  • World-Class Technical Team and Culture

    Work alongside exceptional engineers and AI specialists across 26 global offices. Immerse yourself in a builder culture that values technical excellence, rapid iteration, and ownership mentality across all organizational levels.

  • High-Impact Project Ownership

    Lead meaningful, customer-facing technical initiatives end-to-end with significant business impact. Own complex, high-visibility AI engineering problems that directly influence product direction and business outcomes.

  • Accelerated Learning and Growth

    Accelerate your technical growth through exposure to cutting-edge AI technologies, fintech domain expertise, and cross-functional collaboration. Mentor junior engineers while learning from world-class architects and thought leaders.

  • Strategic Role in AI Platform Development

    Shape the future of AI-powered analytics and financial technology. Participate in building foundational AI infrastructure that scales to hundreds of thousands of global businesses using Airwallex's platform.

  • Founder-Led Organization with Clear Mission

    Join a company with founder energy and clear operating principles focused on democratizing global financial infrastructure. Work toward a mission-driven vision with transparent leadership and strategic alignment.

Process

Interview steps.

  1. 01

    Initial Phone Screening

    Preliminary conversation with talent acquisition team to assess background, experience with production AI systems, and alignment with role requirements. Expected duration: 20-30 minutes.

  2. 02

    Technical Phone Interview

    In-depth discussion with a Senior AI Engineer or technical lead covering AI system design, data engineering approaches, and specific technical decisions. Expect questions on agentic AI patterns, data modeling, and production considerations.

  3. 03

    AI Systems Design Assessment

    Technical evaluation where you'll design an AI system or data pipeline for a realistic business scenario. This may involve whiteboarding, code discussion, or written design documentation demonstrating your approach to reliability, scalability, and governance.

  4. 04

    Data and SQL Technical Round

    Focused technical interview covering SQL optimization, data modeling fundamentals, and data pipeline design. Expect realistic scenarios involving complex queries, schema design decisions, and data quality considerations.

  5. 05

    Leadership and Culture Fit Interview

    Conversation with an engineering manager or senior leader focused on your approach to mentorship, technical decision-making, collaboration across teams, and alignment with Airwallex's operating principles and builder culture.

  6. 06

    Executive or Founder-Level Conversation

    Final-stage discussion with engineering leadership to explore your vision for AI-powered analytics, your growth trajectory, and mutual cultural and strategic alignment with Airwallex's mission in global fintech.

Full posting

Original listing.

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

About the team

The AI team is at the heart of our company’s data and AI strategy. We're building a world-class, customer-facing analytics product that turns data into business impact through AI. As a Senior AI Engineer, you'll build the agent systems at the heart of it — turning natural-language questions into trustworthy, accurate answers over business data that our customers can rely on.

This is a role for someone who pairs deep AI engineering with solid data engineering foundations — comfortable not just building agents, but understanding the data and metrics they reason over and what makes those answers reliable. You'll own meaningful problems end to end and set a high bar for technical quality.

We're committed to building a diverse and inclusive team, and we welcome applicants of all backgrounds. You don't need to meet every qualification to apply — if you're excited about this work and meet the essentials, we'd love to hear from you.

This role is based in Singapore.

What you'll do

  • Design, build, and ship AI agent applications and agent harnesses that answer business questions accurately over governed data.

  • Build core agent capabilities, including retrieval-augmented generation, natural-language-to-query, and tool or function calling.

  • Improve AI output quality through prompt and context engineering, evaluation benchmarks, guardrails, and ongoing quality measurement.

  • Partner on governed metrics, data models, and data pipelines so agents can reason over consistent, reliable, and secure business data.

  • Apply strong data governance and security practices, including the safe handling of sensitive data, to meet financial-services standards.

  • Contribute strong engineering judgment to technical design and review, and help raise the technical bar across the team.

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.


Minimum qualifications

  • Bachelor’s degree in Computer Science, Mathematics, Finance, or a related field.

  • 5+ years of experience building production software, including AI applications, data pipelines, and data models.

  • Hands-on experience building and deploying agentic AI applications in production.

  • Experience improving AI system accuracy and reliability through evaluation, guardrails, or quality measurement.

  • Strong Python, SQL, software engineering, and data modeling fundamentals.

  • Track record of shipping reliable AI or data products and turning ambiguous business or product needs into clear technical solutions.

Preferred qualifications

  • Experience defining and maintaining semantic layers or metrics layers.

  • Experience with data governance, metadata management, and data security.

  • Experience with modern cloud data platforms and transformation frameworks such as Databricks, Spark, and dbt.

  • Experience building batch or streaming data pipelines using Kafka, Flink, or change-data-capture tooling.

  • Experience building secure customer-facing or multi-tenant products, including access control and data isolation.

  • Experience with low-latency analytics technologies such as ClickHouse.

  • Experience in fintech, payments, or other financial platforms.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Apply for this position

Redirects to Airwallex's application page.

Other roles

More at Airwallex.

View all 145 roles