Applied AI Engineer, Investments

Chan Zuckerberg Initiative

Applied AI Engineer building AI-powered applications for investment research and decision-making. Collaborating with investment professionals to enhance operational efficiency and automate processes.

Posted 6/16/2026full-timeRedwood City • California • 🇺🇸 United StatesMid-LevelSenior💰 $134,000 - $183,700 per yearWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Build AI-enabled applications and workflows that support investment research, manager monitoring, reporting, and operational processes.
Develop integrations with internal and external data sources to improve access to information and reduce manual work.
Contribute to data pipelines, automation workflows, and reporting systems that improve efficiency and data accessibility.
Organize, process, and prepare structured and unstructured data for use in AI applications and analytics tools.
Implement data validation, monitoring, and quality checks to improve the reliability of investment data.
Partner with investment and operations team members to understand business needs and help develop technical solutions.
Explore and prototype emerging AI technologies, including large language models, retrieval systems, and workflow automation tools.
Participate in code reviews, testing, documentation, and software engineering best practices.
Troubleshoot technical issues and contribute to system improvements.
Stay current on developments in artificial intelligence, software engineering, data systems, and financial technology.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, Engineering, Finance, Economics, or a related field, or equivalent practical experience.
Strong interest in financial markets, investing, and applying technology to improve investment decision-making.
Strong programming skills in Python or a similar language, with experience building software applications through internships, research, coursework, hackathons, or personal projects.
Solid foundation in computer science fundamentals, including algorithms, data structures, software design principles, APIs, databases, and data processing.
Interest in artificial intelligence, large language models, workflow automation, and emerging technologies.
Exposure to software engineering, machine learning, data science, quantitative research, or related technical disciplines.
Strong analytical, problem-solving, written communication, and collaboration skills, with the ability to work effectively with both technical and non-technical partners.
Familiarity with modern development tools, cloud technologies, data analysis, or investment-related concepts is a plus.

Benefits

Comp & perks

Provides a generous employer match on employee 401(k) contributions to support planning for the future.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata pipelinesautomation workflowsdata validationsoftware engineeringalgorithmsdata structuresAPIsdatabasesdata processing

Soft Skills

analytical skillsproblem-solvingwritten communicationcollaborationinterpersonal skills

Certifications

Bachelor’s degreeMaster’s degree