Specialist- AI Engineering and Automation
Nasdaq · Posted Oct 22
Stock exchange, market technology, index, and financial compliance services
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About the role
Nasdaq's AI Engineering and Automation team applies software engineering and Generative AI to build AI-powered solutions in collaboration with Finance, Technology, and business stakeholders. The role sits in the Generative AI and cloud-native application domain, working with LLMs, prompt engineering, RAG architectures, and agent-based workflows on AWS. The Specialist will design, develop, test, and deploy production-grade GenAI applications, build reusable components and APIs, and contribute to responsible AI practices and emerging technology adoption.
What you will do
- Design, develop, test, and deploy Generative AI solutions that meet business requirements while ensuring quality, scalability, performance, and reliability.
- Build and maintain AI applications using Large Language Models (LLMs), prompt engineering techniques, retrieval-augmented generation (RAG), agent-based workflows, and cloud-native architectures.
- Collaborate with Finance, Technology, and business stakeholders to understand requirements and translate them into effective technical solutions.
- Contribute to the team's adoption of software engineering and AI development guidelines, including coding standards, testing, documentation, and responsible AI principles.
- Develop reusable components, APIs, and automation frameworks that accelerate AI solution delivery across the organization.
- Participate in solution design discussions, code reviews, and architecture reviews to ensure maintainability and scalability.
- Gather user feedback and participate in iterative development cycles to enhance user experience, adoption, and business value.
- Work effectively within geographically distributed teams, communicating technical concepts clearly to both technical and non-technical audiences.
- Fix and resolve development and deployment issues, calling out risks and dependencies where appropriate.
- Contribute to the evaluation and adoption of emerging AI technologies, frameworks, and industry guidelines.
Skills used in this role
What the employer is looking for
- 4-6 years of software development experience, with hands-on experience building and delivering production-grade applications.
- Strong proficiency in Python and its ecosystem, including modern development practices and frameworks.
- Experience developing applications using Generative AI technologies, including LLMs, prompt engineering, vector databases, RAG architectures, or AI agents.
- Proficiency with AWS cloud services and cloud-native application development.
- Experience with modern development environments and tools such as Visual Studio Code, Git, CI/CD pipelines, and automated testing frameworks.
- Strong understanding of software engineering principles, system design, and API development.
- Familiarity with AI governance, model evaluation, security, and responsible AI practices.
- Excellent communication and stakeholder leadership skills, with the ability to explain complex technical concepts clearly and concisely.
- Proven track record to work independently while collaborating effectively within multi-functional teams.
Preferred qualifications
- Experience building AI solutions in finance, tax, risk, compliance, or other regulated environments.
- Familiarity with agentic AI frameworks, MCP-based integrations, orchestration platforms, or workflow automation technologies.
- Knowledge of web scraping, data extraction, and document processing techniques.
- Familiarity with Spec-Driven Development methodologies and modern software delivery practices.
- Exposure to machine learning model deployment, MLOps, or AI observability tools.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Nasdaq
Nasdaq, Inc. is a leading global technology company serving corporate clients, investment managers, and market operators to navigate and digitize the modern financial ecosystem. It operates multiple market listing venues, indexes, and comprehensive financial crime management and market surveillance solutions.
- Industry
- Financial Exchanges
- Company size
- 9525 employees
- Founded
- 1971-02-08
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chair and Chief Executive Officer
Sarah Youngwood
Executive Vice President, Chief Financial Officer
Brad Peterson
Executive Vice President, Chief Technology Officer
John Zecca
Executive Vice President, Global Chief Legal, Risk and Regulatory Officer