Lead Technology GenAI Platform

Build the platform that brings generative AI into global financial markets.

We are seeking a hands-on Feature Lead to help design, build, and deliver an enterprise Generative AI platform supporting Sales & Trading, Quantitative Strategies, Research, and Operations.

This role combines software engineering, architecture, and technical leadership. You will develop production-ready capabilities, guide engineers, and translate business requirements into reusable, scalable platform solutions. The platform will support a growing portfolio of use cases using proprietary and open-source large language models and large structured and unstructured datasets.

This is an individual contributor role with team leadership responsibilities and substantial hands-on development.

What You’ll Do

• Own end-to-end feature delivery, from requirements and architecture through development, testing, deployment, and ongoing improvement.
• Design and implement multi-tier, microservices-based application architectures.
• Build, optimize, and troubleshoot high-performance APIs using Python and FastAPI.
• Implement containerization, distributed caching, and message queues to support scalable, reliable systems.
• Integrate business use cases into shared platform capabilities that teams can reuse and extend.
• Work with Product Owners and business stakeholders to clarify requirements, prioritize work, and define acceptance criteria.
• Break complex initiatives into actionable development tasks, estimates, and delivery plans.
• Establish and maintain CI/CD pipelines for automated testing and deployment.
• Automate development lifecycle activities to improve delivery speed and reduce manual effort.
• Lead code reviews, guide architecture decisions, and apply enterprise engineering standards.
• Mentor engineers in solution design, troubleshooting, estimation, and development practices.
• Identify performance bottlenecks and implement software enhancements and infrastructure upgrades.
• Manage technical debt while maintaining platform quality and supporting continued growth.

Required Qualifications

Software Engineering and Architecture

• Strong hands-on Python development expertise.
• Proficiency in Unix/Linux scripting.
• Experience designing and implementing multi-tier applications and microservices-based platforms.
• Experience developing and optimizing APIs using FastAPI.
• Experience across the full software development lifecycle.

Data and Databases

• Strong knowledge of relational databases, including Oracle and MySQL.
• Strong knowledge of NoSQL databases, including MongoDB.
• Experience processing and integrating large structured and unstructured datasets.

Front-End Development

• Working knowledge of HTML/CSS, JavaScript, XML, React, and jQuery, with the ability to support end-to-end application delivery.

Platform and Distributed Systems

• Experience with containerization technologies, distributed caching, and message queues.
• Experience designing scalable, high-performance systems.
• Experience implementing and automating CI/CD pipelines.

Technical Leadership and Collaboration

• Experience guiding solution design and architecture decisions.
• Ability to estimate work, decompose complex requirements, and guide execution.
• Experience conducting code reviews and mentoring development teams.
• Ability to balance feature delivery, engineering quality, and technical debt.
• Strong stakeholder communication, critical thinking, and problem-solving skills.

Preferred Qualifications

• Experience delivering data analytics, AI, or GenAI solutions.
• Familiarity with TensorFlow or PyTorch.
• Knowledge of large language model fine-tuning, Retrieval-Augmented Generation (RAG), and tools for agentic AI solutions.
• Experience with asynchronous programming, Redis or similar distributed caching technologies, and OpenTelemetry.
• Knowledge of authentication and authorization mechanisms.
• Experience building enterprise platforms in financial services, capital markets, or similarly complex environments.

What Success Looks Like in the First 90–120 Days

• Feature delivery: Deliver agreed-upon platform features and business use case integrations through testing, acceptance, and deployment.
• Scalability and performance: Establish performance baselines, identify bottlenecks, and implement improvements against agreed API and platform performance targets.
• Engineering efficiency: Implement or improve automated testing and deployment pipelines, with measurable reductions in manual steps.
• Engineering quality: Meet documented acceptance criteria, apply coding and architecture standards, and maintain a prioritized technical debt backlog.
• Team execution: Establish clear work breakdowns, estimates, code review practices, and technical guidance that support predictable delivery.

Education

Bachelor’s degree or equivalent work experience.