Lead Solutions Engineer - AI Technology at WorldQuant in New York

Job description

• The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
• A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

Responsibilities

• Managing technical objectives and providing technical leadership.
• Maintaining a hands-on approach to development.
• Working closely across teams within WorldQuant as part of the business-facing technology organization.
• Mentoring junior team members, conducting code reviews, and driving architectural decisions.

Requirements

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
• 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Experience in the finance industry is a plus but not required.
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

Skills

Required

• Python
• Pandas
• NumPy
• PySpark
• Data pipeline design
• Cloud platforms (AWS, GCP, or Azure)
• Containerization (Docker, Kubernetes)
• Version control (Git)
• CI/CD practices
• Agile methodologies

Preferred

• AI/ML frameworks (PyTorch, scikit-learn)
• LLM, agents or systems of agents
• Finance industry experience

Benefits

• Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
• Twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month, three personal days, and
• ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups
• WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.
• To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
• The Base Pay Range For This Position Is $175,000 – $250,000 USD.
• At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.