Head of Applied AI Engineering – Investment Banking, Citi

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

Visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division, covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.

Job Responsibility:

Partner with senior bankers and business leads to identify high-impact AI opportunities
Develop and execute the AI engineering roadmap
Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines
Architect secure, compliant AI solutions
Drive integration of structured and unstructured data
Oversee data engineering and ML feature pipelines
Convert proofs-of-concept into scalable, enterprise-grade tools
Embed AI solutions into banker workflows
Ensure all AI systems meet internal standards for explainability, fairness, and compliance
Build and lead a high-performing team of AI engineers

Requirements:

10+ years in data science / AI engineering
4+ years leading teams in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments
Strong communication and stakeholder management skills
Bachelor's degree/University degree or equivalent experience
Master's degree preferred

Nice to have:

Experience with knowledge graphs and graph-based search
Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook
Prior work on AI co-pilots, document summarization tools, or automated pitch generation
Exposure to enterprise CRM systems and client intelligence platforms
Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field

Additional Information:

Job Posted:
September 27, 2025

Employment Type:

Fulltime

Work Type:

On-site work

View All Jobs In This Company

Job Link Share:

Head of Applied AI Engineering – Investment Banking