Nasdaq · Toronto
Other
We're looking for a Senior AI Application Engineer (.NET) to design, build, and scale intelligent enterprise applications powered by modern AI technologies. This role is ideal for an experienced C#/.NET software engineer who has applied technologies such as LLMs, Retrieval-Augmented Generation (RAG), vector search, and AI agents to solve real-world business challenges.
You'll develop secure, scalable, production-ready solutions that enhance search experiences, automate complex workflows, and unlock knowledge across enterprise systems. Rather than building foundational AI models, you'll focus on integrating and operationalizing AI within enterprise-grade applications, transforming emerging technologies into impactful solutions that deliver measurable business value.
Key Responsibilities
Design, build, and maintain AI-powered enterprise applications using C#, .NET, cloud-native technologies, and LLMs.
Develop and optimize RAG-based solutions using enterprise data, embeddings, and vector search to enable relevant, context-aware experiences.
Integrate AI capabilities through AWS Bedrock or similar platforms, including prompt engineering, guardrails, and safety controls that improve quality and reliability.
Build conversational and agentic experiences that coordinate tools, functions, and multi-step reasoning, including MCP tools, functions, and server integrations.
Partner with product, architecture, and engineering teams to deliver scalable, maintainable AI systems and establish strong evaluation, observability, and monitoring practices.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience.
Strong programming and system design skills in .NET or Java with experience building APIs and cloud-native backend services.
5+ years of professional software engineering experience developing enterprise applications using C# and .NET.
Strong hands-on experience with RAG architectures, embeddings, vector databases, semantic search, and cloud AI platforms such as AWS Bedrock or equivalent.
Experience designing agentic workflows, integrating MCP tools and servers, and building AI experiences for chat or conversational user interfaces.
Preferred Qualifications
Have a strong background building enterprise applications with C# and .NET.
Have recently incorporated AI capabilities into existing products, platforms, or workflows.
Are comfortable moving between architecture, hands-on development, integration, and production support.
Enjoy solving practical business problems with technology rather than building experimental proofs of concept.
Can balance software engineering best practices with the rapid pace of emerging AI technologies.
This position will be located in Atlanta, Georgia 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.
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
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.
In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), 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.
Nasdaq’s programs and rewards are intended to allow our employees to:
For more information, visit Nasdaq Benefits & Rewards Career page.