AI Data Engineer

Job Description
Role Summary
As an AI Engineer on the Business Intelligence team at Citadel Securities, you will drive the strategic development and hands-on implementation of AI-powered tools and agentic workflows. Our goal - streamlining operational processes and enabling faster, more scalable decision-making across the firm.
We are looking for a jack of all trades to tackle a high-impact, end-to-end builder position. You will identify high-ROI opportunities, design and prototype AI solutions, and collaborate closely with world-class engineers and business leaders to scale your work across the organization. Your work will support development of the firm's internal AI roadmap to deliver measurable impact through automation, applied machine intelligence, and experimentation.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel Securities, please share your details and we will contact you if there is a vacancy available.
Objectives
Engineering and Implementation

• Keep up to date with and evaluate cutting edge AI techniques and architectures that can enhance or replace existing operational workflows
• Build, test, and scale agentic systems using modern frameworks
• Develop internal tools and full-stack applications to automate repetitive or high-effort tasks across departments
• Translate prototypes into production-grade Python systems, with an emphasis on maintainability and performance

Collaboration and Communication

• Partner with senior leaders and non-technical finance teams to understand needs, frame AI use cases, and drive adoption through accessible communication and demonstrations
• Work with engineers to define architecture, security, and permissions best practices - especially around data-sensitive applications

Operational Excellence

• Ensure AI-generated outputs are reviewed and verified; build tools and guardrails to mitigate hallucinations and quality risks
• Design experiments, iterate quickly, and deliver working solutions in fast-moving, ambiguous environments

Skills and Qualifications

• 4-8 years of hands-on experience in software engineering, AI engineering, or data science (with strong engineering fluency). You might be a data scientist with an engineering background or an engineer with a data science background
• Expert-level proficiency in Python and experience deploying production-grade code (not just notebooks)
• Demonstrated experience automating operational processes, deploying LLM-based tools to production, or building agentic workflows
• Strong working knowledge of NLP, LLMs, and modern AI stacks
• Proven ability to scope ambiguous problems, develop end-to-end solutions, and communicate outcomes effectively
• An experimental mindset: comfortable testing hypotheses, learning from failures, and iterating quickly; doesn't shy away from problems with no right answer
• Strong collaboration and communication skills; capable of simplifying complex topics for non-technical colleagues
• A passion for staying current with AI trends and bringing novel techniques into practical use

Preferred

• Experience in full-stack prototyping and rapid development frameworks like Streamlit, Flask, or similar
• Familiarity with data infrastructure, permissions design, or integration of AI into existing software systems

In accordance with applicable law, the base salary range for this role is $150,000 to $300,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
About Citadel Securities
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.