Senior GenAI Engineer Global Link ,Vice President

The Ideal Candidate Will Be Responsible For

• Implementation and delivery of new server-side components, microservices, Web APIs, and enhancements to the BestX product.
• Exhibiting superior skills across modern Agile engineering, cloud-native architectures, server-side development, and database design.
• Developing a strong understanding of Transaction Cost Analysis (TCA) and the key benchmarks required for MiFID II / MiFIR.
• Maintaining and enhancing core applications while influencing and shaping technology and architectural decisions.
• Taking full ownership of tasks and seeing them through to completion with a strong sense of accountability and quality.
• Establishing and enforcing best practices, including clean code, robust design patterns, and maintainable system architectures.
• Acting as a catalyst for change, driving continuous improvement and modernisation across the engineering organisation.
• Being a strong proponent of Test-Driven Development (TDD) and shift-left practices to enable effective CI/CD pipelines and high-quality releases.

• Architect and build production-grade Generative AI systems:
  Lead the hands-on development of LLM-powered solutions, AI-enabled services, and agentic frameworks that are performant, scalable, and deployed directly into commercial production environments to solve real business problems.
• Integrate Generative AI into core financial workflows:
  Design AI-driven capabilities that enhance analytics, automation, decision support, and operational efficiency within the BestX platform, while meeting strict performance, security, and regulatory requirements.
• Pioneer intelligent automation using agents:
  Design and implement autonomous and semi-autonomous agents capable of reasoning, planning, and orchestrating complex workflows across distributed systems to automate critical enterprise processes and reduce operational risk.
• Apply strong engineering discipline to AI systems:
  Ensure AI solutions adhere to the same high standards as core platform services, including observability, testing, versioning, explainability, security, and cost control.
• Collaborate across product, data, and business stakeholders:
  Translate business problems into well-architected AI solutions, balancing innovation with reliability and regulatory expectations.
• Shape AI engineering best practices:
  Contribute to standards and patterns for prompt management, model integration, evaluation, and lifecycle management within a regulated, enterprise-grade environment.

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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Job : R-788991