Senior AI Application Engineer (.NET)
Nasdaq
Atlanta, GA · Posted November 9, 2026
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Where Atlanta, GA ranks
Where Atlanta, GA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for education jobs491 openings · of 47
- #1Cities with the most jobs that do not need a four-year degree in the Southeast528 jobs · of 72
- #1Best cities for software and engineering jobs in the Southeast973 openings · of 65
- #2Best all-round cities for remote workers in the Southeast87 / 100 · of 33
- #3Best cities for finance jobs641 openings · of 78
- #3Best cities for clinical jobs152 openings · of 22
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
We're looking for a Senior AI Application Engineer (.NET) to design, build, and scale intelligent enterprise applications. This role is ideal for an experienced C#/.NET software engineer who has recently incorporated AI capabilities into existing products, platforms, or workflows and can balance strong software engineering practices with the rapid pace of emerging AI technologies.
You'll develop secure, scalable, production-ready solutions that enhance user experiences, automate workflows, and unlock value from enterprise data. Rather than building foundational AI models, you'll focus on integrating AI into enterprise-grade software to solve practical business challenges and deliver measurable impact.
Key Responsibilities
• Design, build, and maintain scalable, secure enterprise applications using C#, .NET/.NET Core, SQL Server, PostgreSQL, AWS, Terraform, and modern web technologies such as Vue.js.
• Develop backend APIs, microservices, and cloud-native services while contributing across the full stack when needed.
• Integrate AI capabilities such as LLMs, RAG, vector search, embeddings, and agentic workflows into enterprise applications.
• Write clean, maintainable, production-ready code and contribute to architecture discussions, technical design reviews, and code reviews.
• Contribute to CI/CD pipelines, infrastructure automation, and cloud deployments to improve development velocity and operational excellence.
• Collaborate with product, architecture, and engineering teams to deliver scalable solutions that solve complex business challenges.
• Troubleshoot and resolve issues across development and production environments.
Required Qualifications
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
• 4-5+ years of professional software development experience building enterprise applications.
• Strong experience with C#, .NET/.NET Core, software design, and backend development.
• Experience building APIs, microservices, and cloud-native applications.
• Experience with modern frontend frameworks such as Vue, React, or Angular.
• Strong knowledge of SQL Server, PostgreSQL, MySQL, or similar relational databases.
• Experience with AWS or Azure, Terraform, CI/CD pipelines, source control, and modern software development practices.
• Recent hands-on experience incorporating AI capabilities into existing products, platforms, workflows, or production software.
• Strong problem-solving, communication, and collaboration skills, with the ability to balance engineering best practices and fast-moving AI technologies.
Preferred Qualifications
• Experience with LLMs, RAG architectures, vector databases, embeddings, semantic search, AWS Bedrock, or similar AI platforms.
• Experience building conversational AI applications, copilots, assistants, or agentic workflows.
• Experience with Docker, Elasticsearch, Jenkins, or other cloud-native and DevOps technologies.
• Experience implementing monitoring, evaluation, and observability practices for AI-powered applications.
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:
• Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
• Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
• Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
• Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
• Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
For more information, visit Nasdaq Benefits & Rewards Career page.