AI Engineer

We’re looking for an AI Engineer to design and deliver secure, scalable applications that bring modern AI into enterprise environments. In this role, you’ll apply technologies like LLMs, RAG, vector search, and agentic workflows to improve search, automation, and decision-making across the business. This is a hands-on role focused on applying modern AI capabilities in practical ways, not building or training foundational models from scratch. We’re looking for someone who can turn AI into useful products, workflows, and internal capabilities that are secure, scalable, and ready for production.

You’ll fit right in if you’re a hands-on engineer who enjoys turning emerging AI capabilities into practical, production-grade software. You’re curious, collaborative, and comfortable working across experimentation, system design, and delivery. You know how to pair strong software fundamentals with modern AI tools to build secure, scalable solutions that solve real business problems.

Key Responsibilities

Design and build AI-powered applications that use LLMs to improve user workflows, search, automation, and decision support.

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.

5+ years of software engineering experience, including proven experience building AI or LLM-enabled applications in production environments.

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.

Strong programming and system design skills in one or more modern languages such as C#, Java, Python, or JavaScript/TypeScript, with experience building APIs and cloud-native backend services.

Preferred Qualifications

Experience building AI solutions in enterprise, fintech, or other regulated environments.

Familiarity with frameworks such as Semantic Kernel, LangChain, LangGraph, Microsoft Agent Framework, or similar orchestration frameworks.

Experience evaluating and operating AI systems in production, including grounding, relevance, latency, safety, observability, and reusable platform capabilities.

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

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.