Sr Specialist AI Engineer

nasdaq; India; Hybrid; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Annual bonus

Employee stock purchase program

Health insurance

Flexible hybrid work schedule

6 paid flex days per year

Mentorship program

Online learning (Udemy)

Job summary

Nasdaq seeks a Sr Specialist - AI Engineering to lead design, development, and deployment of enterprise AI platforms and autonomous agents. You will architect AI systems with LLMs, RAG, and multi-agent orchestration across global teams.

You will establish governance, observability, and best practices while driving measurable outcomes in productivity and software quality. Hybrid-first environment with strong growth opportunities.

Qualifications

• Bachelor's or Master’s degree in Computer Science, AI, Engineering, IT, or related field.
• 5-8 years of software engineering experience, including hands-on AI-powered apps.
• Strong Python proficiency and modern software engineering practices.
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, etc.).

Responsibilities

• Design, develop, deploy, and support enterprise-grade AI solutions and agents.
• Build RAG systems using vector databases and knowledge sources.
• Develop multi-agent planning, memory, and tool orchestration.
• Create evaluation frameworks for relevance, safety, and business impact.
• Partner with stakeholders to translate requirements into scalable AI solutions.
• Implement AI observability, governance, and security controls.

Skills

Python

LLMs

Communication

Stakeholder management

AI engineering

Education

Bachelor's or Master's in CS/AI/Engineering/IT

Tools

LangGraph

LangChain

AutoGen

CrewAI

Semantic Kernel

LlamaIndex

GitHub Copilot

Job description

As a Sr Specialist - AI Engineering reporting to the Head of Market Data and AI Enablement, you will lead the design, development, and deployment of next-generation AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and intelligent automation. You will build enterprise-grade AI platforms, autonomous agents, evaluation frameworks, and AI-powered workflows that drive measurable business outcomes and engineering productivity across Nasdaq.

Working closely with global teams and stakeholders, you will architect scalable, secure, and production-ready AI systems while establishing AI engineering best practices, governance standards, and operational excellence.

You will thrive in this role if you are passionate about AI innovation, enjoy solving complex business challenges, and can successfully bring cutting-edge AI capabilities into enterprise production environments.

Roles & responsibilities

• Design, develop, deploy, and support enterprise-grade Agentic AI solutions, intelligent assistants, copilots, and workflow automation platforms.
• Build and maintain Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, enterprise content sources, and knowledge repositories.
• Develop multi-agent systems that leverage planning, reasoning, memory, and tool orchestration capabilities.
• Create evaluation frameworks to measure answer relevancy, faithfulness, grounding, latency, safety, and overall business impact.
• Partner with business and technology stakeholders to translate requirements into scalable AI solutions.
• Implement AI observability, monitoring, governance, security controls, and operational best practices.
• Integrate AI systems with enterprise applications, APIs, databases, and cloud platforms.
• Drive AI-enabled automation initiatives to improve productivity, software quality, and operational efficiency.
• Mentor engineers and promote AI engineering standards, architecture patterns, and best practices.
• Evaluate emerging AI technologies, frameworks, and models and drive adoption where appropriate.

What we expect

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, Information Technology, or a related field.
• 5-8 years of software engineering experience, including hands-on experience building AI-powered applications.
• Strong proficiency in Python and modern software engineering practices.
• Hands-on experience with LLMs such as GPT, Claude, Gemini, Llama, or similar foundation models.
• Experience with LangGraph, LangChain , AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.
• Strong understanding of Agentic AI architectures, tool calling, memory systems, reasoning frameworks, and workflow automation.
• Experience building RAG applications using vector databases and semantic search technologies.
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience in Financial Services, Capital Markets, or FinTech domains.
• Experience with DeepEval, Ragas, LangSmith or similar evaluation frameworks.
• Exposure to LLMOps, MLOps, Responsible AI, and AI Governance practices.
• Experience with Knowledge Graphs, Graph Databases, and Enterprise Search platforms.

What will it be like working here?

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that embraces work-life balance and fosters well-being.

What do we offer you?

• Annual monetary bonus
• An opportunity to become a Nasdaq shareholder
• Employee Stock Purchase Program Nasdaq stocks with a discount
• Health Insurance Program
• Flexible working schedule and hybrid way of work
• Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays
• Internal mentorship program - get a mentor or become one
• Wide selection of online learning resources, e.g., Udemy

Come as you are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information or any other status protected by applicable law.

Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services. As the creator of the world's first electronic stock market,