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AI Engineer - Assistant Vice President

ExperiencedNo visa sponsorship
Citi logo

at Citi

Bulge Bracket Investment Banks

Posted 11 days ago

No clicks

**AI Engineer - Assistant Vice President**: Design and develop Agentic AI solutions for Funds Transfer Pricing and Financial Hedging platforms. Key responsibilities: advanced agent and model development, performance optimization, and collaboration. Required skills: 8+ years in software development, proficiency in Python, SQL, and agentic AI development; experience with LLMs, Prompt and Context Engineering. Full-time role, Citi.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

AI Engineer - Assistant Vice President

Apply (opens in new window)
Save

Job Req Id:

26987873

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Aug. 27, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview


Job Description

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

The ideal candidate is a skilled engineer, passionate about building sophisticated AI agents and contributing to their development from concept to production.

In this position, you will be responsible for helping to create 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

  • Contribute to the development of multi-agent systems where autonomous agents collaborate to solve business problems.
  • Implement and optimize planning and reasoning capabilities using techniques such as knowledge graphs, rule-based reasoning, and planning/search algorithms to execute multi-step workflows.
  • Build resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, and self-correction.
  • Integrate large language models (LLMs), predictive models, and reasoning frameworks to expand agent capabilities and support complex business workflows.
  • Work on the design and optimization of Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, and retrieval pipelines to improve response accuracy.
  • Develop APIs, tools, and microservices that enable seamless integration of AI capabilities with enterprise applications and platforms.

Performance and Optimization

  • Contribute to the optimization of AI systems for low latency and high throughput.
  • Implement techniques such as response streaming and caching, while ensuring cost-effectiveness through model selection and token usage optimization

Collaboration and Innovation:

  • AI Research and Application: Stay current with state-of-the-art research and apply it to solve business problems, identifying opportunities for innovation.
  • Team Collaboration: Collaborate with and mentor other engineers on AI best practices, fostering a culture of engineering excellence within the team.

Required Qualifications & Skills

  • 8+ 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.
  • Experience in developing multi-agent systems using frameworks like Google ADK, LangGraph, AutoGen, or CrewAI. This includes hands-on experience with planning/reasoning, memory systems, and Vector DBs.
  • Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
  • Strong skills in 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

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

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save

AI Engineer - Assistant Vice President

Compensation

Not specified

City: Not specified

Country: India

Citi logo
Bulge Bracket Investment Banks

11 days ago

No clicks

at Citi

ExperiencedNo visa sponsorship

**AI Engineer - Assistant Vice President**: Design and develop Agentic AI solutions for Funds Transfer Pricing and Financial Hedging platforms. Key responsibilities: advanced agent and model development, performance optimization, and collaboration. Required skills: 8+ years in software development, proficiency in Python, SQL, and agentic AI development; experience with LLMs, Prompt and Context Engineering. Full-time role, Citi.

Full Job Description

AI Engineer - Assistant Vice President

Apply (opens in new window)
Save

Job Req Id:

26987873

Location(s):

Pune, Maharashtra, India

Job Type:

Hybrid

Posted:

Aug. 27, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview


Job Description

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

The ideal candidate is a skilled engineer, passionate about building sophisticated AI agents and contributing to their development from concept to production.

In this position, you will be responsible for helping to create 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

  • Contribute to the development of multi-agent systems where autonomous agents collaborate to solve business problems.
  • Implement and optimize planning and reasoning capabilities using techniques such as knowledge graphs, rule-based reasoning, and planning/search algorithms to execute multi-step workflows.
  • Build resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, and self-correction.
  • Integrate large language models (LLMs), predictive models, and reasoning frameworks to expand agent capabilities and support complex business workflows.
  • Work on the design and optimization of Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, and retrieval pipelines to improve response accuracy.
  • Develop APIs, tools, and microservices that enable seamless integration of AI capabilities with enterprise applications and platforms.

Performance and Optimization

  • Contribute to the optimization of AI systems for low latency and high throughput.
  • Implement techniques such as response streaming and caching, while ensuring cost-effectiveness through model selection and token usage optimization

Collaboration and Innovation:

  • AI Research and Application: Stay current with state-of-the-art research and apply it to solve business problems, identifying opportunities for innovation.
  • Team Collaboration: Collaborate with and mentor other engineers on AI best practices, fostering a culture of engineering excellence within the team.

Required Qualifications & Skills

  • 8+ 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.
  • Experience in developing multi-agent systems using frameworks like Google ADK, LangGraph, AutoGen, or CrewAI. This includes hands-on experience with planning/reasoning, memory systems, and Vector DBs.
  • Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
  • Strong skills in 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

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

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save