Chapter Lead AI

About Capgemini:

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Role:

We are looking for an exceptional Software Architect and Engineering Chapter Lead to shape the technical culture and engineering excellence of our Capital Markets IT division. This position will be the guardian of software craftsmanship ensuring that every system we build is clean, resilient, observable, and built to last.

Main Responsibilities

Software Engineering & Craftsmanship

• Embed Clean Code principles (e.g. SOLID, DRY, YAGNI) as non-negotiable standards across all teams.

• Own the engineering quality framework: code review standards, static analysis gates, test coverage requirements, and performance benchmarks.

• Lead by example — contribute to critical codebases, perform deep technical code reviews, and pair-program with engineers to model best practice.

• Drive Test-Driven Development (TDD) and Behaviour-Driven Development (BDD) adoption 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) prioritizing low latency, fault-tolerance, and auditability.

• Define and govern technology standards, patterns, and reference architectures across the division.

• Drive architectural reviews and Architectural Decision Records (ADRs), ensuring 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/Agentic AI into engineering workflows to accelerate coding, testing, documentation, and troubleshooting.

• Build reusable GenAI, 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 productivity, quality, and cycle-time improvements enabled by GenAI.

Chapter Leadership

• Lead and grow the Engineering Chapter: a cross-filiere community of practice for software engineers across Capital Markets IT.

• Convene regular Chapter sessions , tech talks, architecture story boards, refactoring workshops, and book clubs to foster 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 growth plans.

• Collaborate with Tribe Leads and Product Owners to ensure engineering quality does not erode under delivery pressure.

Technical Governance & Strategy

• Own the technology radar for Capital Markets IT: assess, trial, adopt or hold technologies in partnership with the global architecture and engineering teams.

• Lead the technical due diligence on 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 embed shift-left practices into the SDLC.

Qualifications and Profile

• Master or Bachelor's degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.

• AI Proficiency

- Demonstrated ability to effectively utilize AI-powered tools (e.g., GitHub Copilot) to enhance productivity and problem-solving capabilities

- 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 & Technical Background

• 10+ years of software engineering experience, with at least 4 years in a principal, staff, or architect role.

• Core: Deep hands-on expertise in at least one primary language ecosystem

• Java / Kotlin (Spring Boot, Project Loom, GraalVM)

• Python (asyncio, Cython, NumPy/Pandas for quant workflows)

• C++ (modern C++20, lock-free structures, FPGA/kernel bypass desirable)

• 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.

• Cloud architecture experience (AWS, Azure, or GCP) with an understanding of hybrid cloud patterns common in regulated financial environments.

• Practical experience applying GenAI & Agentic AI tools/frameworks in enterprise engineering workflows.

Craftsmanship & Engineering Excellence

• Demonstrable commitment to Clean Code and software craftsmanship; able to articulate and teach these principles.

• Experience implementing and governing 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 domain context.

Leadership & Chapter / Community of Practice

• Experience running or participating in a Chapter, Guild, or Centre of Excellence within an Agile/SAFe/Spotify model organisation.

• Demonstrable ability to define and operationalize engineering standards at scale — across multiple squads or delivery teams.

• Strong technical communication: able to translate complex architectural decisions for both engineering and business audiences.

• Track record of developing senior engineering talent through mentoring, structured feedback, and technical coaching.

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As Architects of Positive Futures, Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious A list for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognized by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee's stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.