Sr Specialist AI Engineer
Nasdaq, Inc. (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of enterprise-grade AI solutions including Agentic AI frameworks, Retrieval-Augmented Generation (RAG) systems, and intelligent automation platforms.
- Architect scalable, secure, and production-ready AI systems with focus on AI governance, observability, security, and operational excellence across Nasdaq.
- Collaborate with global stakeholders to translate requirements into AI-powered workflows that improve business outcomes and engineering productivity.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, AI, Engineering, IT, or related field.
- 5-8 years of software engineering experience with hands-on AI application development.
- Proficient in Python and experienced with large language models (LLMs) such as GPT, Claude, Gemini, Llama or similar.
- Experience with AI orchestration frameworks like LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or LlamaIndex.
Ideal Candidate Profile
- Proven ability to build and scale Agentic AI architectures, multi-agent systems, and RAG applications using vector databases and knowledge repositories.
- Experience integrating AI with enterprise applications, APIs, cloud platforms, and applying AI governance and operational best practices.
- Comfortable mentoring engineers, leading adoption of AI engineering standards, and evaluating emerging AI technologies for enterprise use.