AI Chapter Lead

AI Chapter Lead
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AI Chapter Lead

Asia - Singapore
Digital and Information System
Permanent
April 21, 2026
APPLY

About the role

Main Responsibilities

Software Engineering & Craftsmanship

  • Embed Clean Code principles (e.g., SOLID, DRY, YAGNI) as non-negotiable standards across all teams.
  • Take ownership of the engineering quality framework: code review standards, static analysis checks, test coverage requirements, and performance benchmarks.
  • Lead by example — contribute to critical codebases, conduct in-depth technical code reviews, and pair-program with engineers to demonstrate best practices.
  • Adopt Test-Driven Development (TDD) and Behavior-Driven Development (BDD) to improve correctness and documentation.
  • Define and enforce "Definition of Done" (DoD) criteria that include architectural, security, and performance quality gates.

Software Architecture

  • Design end-to-end architectures for capital markets platforms (pricing engines, order management, risk, post-trade) with a focus on low latency, fault tolerance, and auditability.
  • Define and govern technology standards, patterns, and reference architectures across the division.
  • Lead architectural reviews and Architectural Decision Records (ADRs), ensuring that decisions are documented, peer-reviewed, and communicated.
  • Balance tactical delivery needs with long-term architectural health — managing trade-offs transparently.
  • Champion event-driven, domain-driven, and cloud-native architectures where appropriate.

GenAI / Agentic AI for Software Engineering

  • Integrate GenAI and agentic AI into engineering workflows to speed up coding, testing, documentation, and troubleshooting.
  • Build reusable GenAI components, MCP components, prompt libraries, engineering agents, automated test generators, and code refactoring assistants.
  • Partner with enterprise AI teams to ensure governance, data safeguards, and safe model usage.
  • Track and report measurable improvements in productivity, quality, and cycle time enabled by GenAI.

Chapter Leadership

  • Lead and grow the Engineering Chapter: a cross-functional community of practice for software engineers across Capital Markets IT.
  • Organize regular Chapter meetings, tech talks, architecture storyboards, refactoring workshops, and book clubs to promote continuous learning.
  • Define and maintain a shared engineering competency framework and career ladder for software engineers.
  • Mentor senior and principal engineers; provide structured technical coaching aligned with individual development plans.
  • Work with Tribe Leads and Product Owners to ensure that engineering quality does not suffer under delivery pressure.

Technical Governance & Strategy

  • Take the lead on the technology roadmap for Capital Markets IT: evaluate, test, adopt, or hold off on technologies in collaboration with the global architecture and engineering teams.
  • Lead the technical due diligence for vendor solutions, open-source frameworks, and cloud services.
  • Track and present engineering health metrics (code quality, deployment frequency, MTTR, change failure rate) to leadership.
  • Partner with cloud, security, and infrastructure teams to integrate shift-left practices into the software development lifecycle (SDLC).

Main Responsibilities

Software Engineering & Craftsmanship

  • Embed Clean Code principles (e.g., SOLID, DRY, YAGNI) as non-negotiable standards across all teams.
  • Take ownership of the engineering quality framework: code review standards, static analysis checks, test coverage requirements, and performance benchmarks.
  • Lead by example — contribute to critical codebases, conduct in-depth technical code reviews, and pair-program with engineers to demonstrate best practices.
  • Adopt Test-Driven Development (TDD) and Behavior-Driven Development (BDD) to improve correctness and documentation.
  • Define and enforce "Definition of Done" (DoD) criteria that include architectural, security, and performance quality gates.

Software Architecture

  • Design end-to-end architectures for capital markets platforms (pricing engines, order management, risk, post-trade) with a focus on low latency, fault tolerance, and auditability.
  • Define and govern technology standards, patterns, and reference architectures across the division.
  • Lead architectural reviews and Architectural Decision Records (ADRs), ensuring that decisions are documented, peer-reviewed, and communicated.
  • Balance tactical delivery needs with long-term architectural health — managing trade-offs transparently.
  • Champion event-driven, domain-driven, and cloud-native architectures where appropriate.

GenAI / Agentic AI for Software Engineering

  • Integrate GenAI and agentic AI into engineering workflows to speed up coding, testing, documentation, and troubleshooting.
  • Build reusable GenAI components, MCP components, prompt libraries, engineering agents, automated test generators, and code refactoring assistants.
  • Partner with enterprise AI teams to ensure governance, data safeguards, and safe model usage.
  • Track and report measurable improvements in productivity, quality, and cycle time enabled by GenAI.

Chapter Leadership

  • Lead and grow the Engineering Chapter: a cross-functional community of practice for software engineers across Capital Markets IT.
  • Organize regular Chapter meetings, tech talks, architecture storyboards, refactoring workshops, and book clubs to promote continuous learning.
  • Define and maintain a shared engineering competency framework and career ladder for software engineers.
  • Mentor senior and principal engineers; provide structured technical coaching aligned with individual development plans.
  • Work with Tribe Leads and Product Owners to ensure that engineering quality does not suffer under delivery pressure.

Technical Governance & Strategy

  • Take the lead on the technology roadmap for Capital Markets IT: evaluate, test, adopt, or hold off on technologies in collaboration with the global architecture and engineering teams.
  • Lead the technical due diligence for vendor solutions, open-source frameworks, and cloud services.
  • Track and present engineering health metrics (code quality, deployment frequency, MTTR, change failure rate) to leadership.
  • Partner with cloud, security, and infrastructure teams to integrate shift-left practices into the software development lifecycle (SDLC).

Your profile

This is some text inside a div block.

Qualifications and Profile

  • Master’s or Bachelor’s degree in Computer Science, Information Technology, Programming & Systems Analysis, or Computer Studies.
  • AI Proficiency
  • Demonstrated ability to effectively use AI-powered tools (e.g., GitHub Copilot) to boost productivity and problem-solving skills.
  • Understanding of AI/ML fundamentals, including prompt engineering, model limitations, and best practices for human-AI collaboration.
  • Experience in evaluating AI-generated outputs for accuracy, security, and alignment with business requirements.
  • Ability to identify opportunities for AI integration and automation within existing workflows and processes.

Domain and Technical Background

  • 10+ years of software engineering experience, including at least 4 years in a principal, staff, or architect role.
  • Core: In-depth, hands-on expertise in at least one primary language ecosystem.
  • Java / Kotlin (Spring Boot, Project Loom, GraalVM).
  • Python (asyncio, Cython, NumPy/Pandas for quantitative workflows).
  • C++ (modern C++20, lock-free structures; FPGA/kernel bypass preferred).
  • Proven background in capital markets IT: trading systems, risk engines, order routing, or post-trade processing.
  • Experience designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.
  • Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.
  • Experience with cloud architecture (AWS, Azure, or GCP) and an understanding of hybrid cloud patterns commonly used in regulated financial environments.
  • Practical experience applying GenAI and agentic AI tools and frameworks in enterprise engineering workflows.

Craftsmanship & Engineering Excellence

  • A demonstrable commitment to Clean Code and software craftsmanship; able to articulate and teach these principles.
  • Experience implementing and managing CI/CD pipelines with quality gates (SonarQube, Checkmarx, Veracode, or equivalent).
  • Strong understanding of software testing strategies: unit, integration, contract, performance, and chaos engineering.
  • Familiarity with Domain-Driven Design (DDD), Event Sourcing, and CQRS patterns in a financial context.

About Antaes

Founded in 2007, Antaes is a Swiss management and technology consulting firm ranked among the top 15 consulting firms in Switzerland. We have more than 300 experienced engineers who share our passion.

 

With offices in Switzerland, Singapore, Hong Kong, and France, we support our clients and international clients by providing services in the following areas:

  • Organizational and Transformation Consulting
  • Industrial Engineering
  • Information Systems Management

 

When you join our team, you’ll discover:

  • A dynamic team with a startup mindset
  • Personalized support and guidance as your career progresses
  • Challenges to help you grow your network
  • Events: team-building activities, meetups, workshops, Winter Event …
  • A company certified by @HappyAtWork with a strong commitment to CSR (Ecovadis Gold Medal 2023)

APPLY
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AI Chapter Lead

Asia - Singapore
Digital and Information System
Permanent

About the role

This is some text inside a div block.

Main Responsibilities

Software Engineering & Craftsmanship

  • Embed Clean Code principles (e.g., SOLID, DRY, YAGNI) as non-negotiable standards across all teams.
  • Take ownership of the engineering quality framework: code review standards, static analysis checks, test coverage requirements, and performance benchmarks.
  • Lead by example — contribute to critical codebases, conduct in-depth technical code reviews, and pair-program with engineers to demonstrate best practices.
  • Adopt Test-Driven Development (TDD) and Behavior-Driven Development (BDD) to improve correctness and documentation.
  • Define and enforce "Definition of Done" (DoD) criteria that include architectural, security, and performance quality gates.

Software Architecture

  • Design end-to-end architectures for capital markets platforms (pricing engines, order management, risk, post-trade) with a focus on low latency, fault tolerance, and auditability.
  • Define and govern technology standards, patterns, and reference architectures across the division.
  • Lead architectural reviews and Architectural Decision Records (ADRs), ensuring that decisions are documented, peer-reviewed, and communicated.
  • Balance tactical delivery needs with long-term architectural health — managing trade-offs transparently.
  • Champion event-driven, domain-driven, and cloud-native architectures where appropriate.

GenAI / Agentic AI for Software Engineering

  • Integrate GenAI and agentic AI into engineering workflows to speed up coding, testing, documentation, and troubleshooting.
  • Build reusable GenAI components, MCP components, prompt libraries, engineering agents, automated test generators, and code refactoring assistants.
  • Partner with enterprise AI teams to ensure governance, data safeguards, and safe model usage.
  • Track and report measurable improvements in productivity, quality, and cycle time enabled by GenAI.

Chapter Leadership

  • Lead and grow the Engineering Chapter: a cross-functional community of practice for software engineers across Capital Markets IT.
  • Organize regular Chapter meetings, tech talks, architecture storyboards, refactoring workshops, and book clubs to promote continuous learning.
  • Define and maintain a shared engineering competency framework and career ladder for software engineers.
  • Mentor senior and principal engineers; provide structured technical coaching aligned with individual development plans.
  • Work with Tribe Leads and Product Owners to ensure that engineering quality does not suffer under delivery pressure.

Technical Governance & Strategy

  • Take the lead on the technology roadmap for Capital Markets IT: evaluate, test, adopt, or hold off on technologies in collaboration with the global architecture and engineering teams.
  • Lead the technical due diligence for vendor solutions, open-source frameworks, and cloud services.
  • Track and present engineering health metrics (code quality, deployment frequency, MTTR, change failure rate) to leadership.
  • Partner with cloud, security, and infrastructure teams to integrate shift-left practices into the software development lifecycle (SDLC).

Your profile

This is some text inside a div block.

Qualifications and Profile

  • Master’s or Bachelor’s degree in Computer Science, Information Technology, Programming & Systems Analysis, or Computer Studies.
  • AI Proficiency
  • Demonstrated ability to effectively use AI-powered tools (e.g., GitHub Copilot) to boost productivity and problem-solving skills.
  • Understanding of AI/ML fundamentals, including prompt engineering, model limitations, and best practices for human-AI collaboration.
  • Experience in evaluating AI-generated outputs for accuracy, security, and alignment with business requirements.
  • Ability to identify opportunities for AI integration and automation within existing workflows and processes.

Domain and Technical Background

  • 10+ years of software engineering experience, including at least 4 years in a principal, staff, or architect role.
  • Core: In-depth, hands-on expertise in at least one primary language ecosystem.
  • Java / Kotlin (Spring Boot, Project Loom, GraalVM).
  • Python (asyncio, Cython, NumPy/Pandas for quantitative workflows).
  • C++ (modern C++20, lock-free structures; FPGA/kernel bypass preferred).
  • Proven background in capital markets IT: trading systems, risk engines, order routing, or post-trade processing.
  • Experience designing distributed systems with strong consistency, exactly-once semantics, and sub-millisecond latency requirements.
  • Hands-on experience with messaging infrastructure: Kafka, Solace, or similar low-latency brokers.
  • Experience with cloud architecture (AWS, Azure, or GCP) and an understanding of hybrid cloud patterns commonly used in regulated financial environments.
  • Practical experience applying GenAI and agentic AI tools and frameworks in enterprise engineering workflows.

Craftsmanship & Engineering Excellence

  • A demonstrable commitment to Clean Code and software craftsmanship; able to articulate and teach these principles.
  • Experience implementing and managing CI/CD pipelines with quality gates (SonarQube, Checkmarx, Veracode, or equivalent).
  • Strong understanding of software testing strategies: unit, integration, contract, performance, and chaos engineering.
  • Familiarity with Domain-Driven Design (DDD), Event Sourcing, and CQRS patterns in a financial context.
Our positions are open to individuals who have been recognized as workers with disabilities. T&S Group promotes diversity and equality in the workplace. All qualified male and female candidates are considered for employment on an equal basis.

About Antaes

Founded in 2007, Antaes is a Swiss management and technology consulting firm ranked among the top 15 consulting firms in Switzerland. We have more than 300 experienced engineers who share our passion.

 

With offices in Switzerland, Singapore, Hong Kong, and France, we support our clients and international clients by providing services in the following areas:

  • Organizational and Transformation Consulting
  • Industrial Engineering
  • Information Systems Management

 

When you join our team, you’ll discover:

  • A dynamic team with a startup mindset
  • Personalized support and guidance as your career progresses
  • Challenges to help you grow your network
  • Events: team-building activities, meetups, workshops, Winter Event …
  • A company certified by @HappyAtWork with a strong commitment to CSR (Ecovadis Gold Medal 2023)