Senior AI Engineer - Vice President

Citi; Maharashtra; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Citi is seeking a Senior AI Engineer to design and develop Agentic AI solutions for Funds Transfer Pricing and Financial Hedging platforms. You will architect multi-agent systems and integrate LLMs into enterprise workflows.

The role requires 12+ years in software development, strong Python/SQL, and hands-on experience with LangChain, LlamaIndex, vector databases, and distributed systems. You will provide technical leadership across teams.

Qualifications

• 12+ years of professional experience in software development and system design.
• Professional experience in software development and system design.
• Proficiency in Python and SQL, with experience in production-quality Agentic AI development; applied experience with frameworks like LangChain, LlamaIndex, or equivalents.
• A proven track record of architecting multi-agent systems using frameworks like Google ADK, LangGraph, AutoGen or CrewAI. This includes hands-on experience with planning/reasoning, memory systems, MCP and Vector DBs
• Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
• Demonstrated mastery of Prompt and Context Engineering, including the ability to structure and compress information for optimal model performance.

Responsibilities

• Design and orchestrate complex multi-agent systems where autonomous agents collaborate, coordinate, negotiate, and delegate tasks to solve business problems that exceed the capabilities of a single agent.
• Design and implement advanced planning and reasoning capabilities using techniques such as knowledge graphs for relationship-aware reasoning, rule-based and symbolic reasoning for deterministic business decisions, and planning/search algorithms to execute complex multi-step workflows reliably and efficiently.
• Develop resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, self-correction, and dynamic replanning to enhance reliability, accuracy, and task completion rates.
• Integrate large language models (LLMs), predictive models, and reasoning frameworks to expand agent capabilities, improve decision quality, and support complex business workflows.
• Design and optimize Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, retrieval pipelines, reranking, and context management to maximize response accuracy and relevance.
• Design and develop APIs, tools, and microservices that enable seamless integration of AI capabilities with enterprise applications, databases, and business platforms.
• Performance and Optimization: Optimize AI systems for low latency and high throughput; implement streaming and caching; ensure cost-effectiveness through model choice and token optimization.
• AI Research and Strategy: drive technical AI strategy within Funds Transfer Pricing and Financial Hedging; stay abreast of research and opportunities.
• Mentorship and Technical Guidance: mentor junior engineers and provide leadership across project teams.

Skills

Python

SQL

Agentic AI

LangChain

LlamaIndex

LangGraph

AutoGen

CrewAI

Google ADK

Memory systems

Vector DBs

LLMs

Education

Bachelor's degree in Computer Science

Master's degree preferred

Tools

REST APIs

Vector DBs

Job description

Job Description
We are building the most consequential AI solutions in Funds Transfer Pricing and Financial Hedging platforms, and we are looking for a Senior AI Engineer to design & develop Agentic AI solutions for these domains.

Job Description
We are building the most consequential AI solutions in Funds Transfer Pricing and Financial Hedging platforms, and we are looking for a Senior AI Engineer to design & develop Agentic AI solutions for these domains.
The ideal candidate is visionary engineer, passionate about architecting and building sophisticated AI agents from concept to production.
In this position, you will be responsible for creating agentic solutions that automate complex workflows, enhance critical decision-making, and deliver scalable, cutting-edge technology at a global scale.
Responsibilities:
Advanced Agent and Model Development

• Design and orchestrate complex multi-agent systems where autonomous agents collaborate, coordinate, negotiate, and delegate tasks to solve business problems that exceed the capabilities of a single agent.
• Design and implement advanced planning and reasoning capabilities using techniques such as knowledge graphs for relationship-aware reasoning, rule-based and symbolic reasoning for deterministic business decisions, and planning/search algorithms to execute complex multi-step workflows reliably and efficiently.
• Develop resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, self-correction, and dynamic replanning to enhance reliability, accuracy, and task completion rates.
• Integrate large language models (LLMs), predictive models, and reasoning frameworks to expand agent capabilities, improve decision quality, and support complex business workflows.
• Design and optimize Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, retrieval pipelines, reranking, and context management to maximize response accuracy and relevance.
• Design and develop APIs, tools, and microservices that enable seamless integration of AI capabilities with enterprise applications, databases, and business platforms.

Performance and Optimization

• Optimize AI systems for low latency and high throughput. Implement advanced techniques such as response streaming and caching, while ensuring cost-effectiveness through strategic model selection and rigorous token usage optimization.

Technical Leadership and Strategy

• AI Research and Strategy: Act as a subject matter expert, driving the technical strategy for AI within the Funds Transfer Pricing and Financial Hedging domains by staying abreast of state-of-the-art research and identifying opportunities for innovation.
• Mentorship and Technical Guidance: Mentor junior engineers on AI best practices and provide technical leadership across multiple project teams, fostering a culture of engineering excellence.

Required Qualifications & Skills

• 12+ years of professional experience in software development and system design, with a proven track record of delivering large-scale systems
• Professional experience in software development and system design.
• Proficiency in Python and SQL, with experience in production-quality Agentic AI development; applied experience with frameworks like LangChain, LlamaIndex, or equivalents.
• A proven track record of architecting multi-agent systems using frameworks like Google ADK, LangGraph, AutoGen or CrewAI. This includes hands-on experience with planning/reasoning, memory systems, MCP and Vector DBs
• Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
• Demonstrated mastery of Prompt and Context Engineering, including the ability to structure and compress information for optimal model performance.

Beneficial Qualifications & Skills

• Experience working in the financial services industry.
• Proficiency in Java as an additional programming language.

Education

• Bachelor’s degree/University degree in Computer Science or a related field.
• Master's degree preferred

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Job Family Group:Technology
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Job Family:Applications Development
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Time Type:Full time
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