Applied AI: Senior Software Engineer, AI Core Dev

Location: Canada - Toronto - Ontario

Time Type: Full time

Job Description

As a Senior Software Engineer in Applied AI reporting to Sr. Director, AI Engineering, you'll play a critical role in building and scaling AI platforms and agent-based solutions that power products and internal tools across Nasdaq's global business.

You'll build AI products and internal tools used across Nasdaq, including Market Platforms, Capital Access Platforms, and Anti-Financial Crime. You'll focus on developing AI agents that improve product development and customer experience, while also working on low-latency model execution frameworks, large-scale data platforms, and advanced monitoring services.

This role is perfect for product-minded, technically curious, and collaborative professionals with a passion for applying cutting-edge AI technologies to real-world, high-impact problems in a fast-paced environment.

About the Team

The AI Engineering team builds AI capabilities across Nasdaq's products and internal platforms. We develop and deploy AI-powered solutions—including LLM-based chat, document processing, report generation, and code generation—that support both our clients and employees while accelerating research and innovation.

Key Responsibilities

• Design, build, and operate AI agents that perform real production work, with a strong focus on quality, observability, and reliability
• Develop and maintain large-scale model execution frameworks supporting batch, API, and real-time use cases
• Partner closely with data scientists to codify reusable data operations that accelerate research and development productivity
• Build cloud-native systems for continuous model training and deployment across AWS and Azure environments
• Communicate technical progress and outcomes clearly to cross-functional collaborators across the business

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience
• 5+ years of professional software engineering experience in complex, production environments
• Strong programming skills in Python and Java; experience with TypeScript is a plus
• Proven ability to design, develop, test, and operate scalable, distributed systems
• Clear communicator with experience working in collaborative, cross-functional teams

Preferred Qualifications

• Experience with cloud-native architectures and infrastructure (AWS and/or Azure)
• Familiarity with low-latency or memory-intensive applications
• Experience using Terraform or other infrastructure-as-code tools

This position will be located in Toronto, and offers the opportunity for a hybrid work environment (at least 3 days a week in office, subject to change), providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

The base pay range for this role is $86,000 - $118,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.