Discover your future at Citi Working at Citi is far more than just a job A career with us means joining a team of more than 230 000 dedicated people from around the globe At Citi you ll have the opportunity to grow your career give back to your community and make a real impact Job Overview The Applications Development Senior Group Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team The overall objective of this role is to drive applications systems analysis and programming activities Role Summary We are seeking a 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 The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem business workflows and secure enterprise-scale deployment Key Responsibilities Strategic AI Leadership Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination client intelligence market analysis and pitch automation Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture AI Engineering Architecture Lead the design and development of scalable AI systems using LLMs NLP knowledge graphs and machine learning pipelines Architect secure compliant AI solutions that integrate with market data CRM internal knowledge bases and document repositories Data Strategy Drive integration of structured e g financial data CRM and unstructured e g filings call transcripts news data to enable advanced insights Oversee data engineering and ML feature pipelines in collaboration with data teams Productization Delivery Convert proofs-of-concept into scalable enterprise-grade tools Embed AI solutions into banker workflows via co-pilots dashboards and smart document assistants Governance Compliance Ensure all AI systems meet internal standards for explainability fairness and compliance with regulatory obligations Collaborate with risk legal and compliance teams on AI model governance Team Building Leadership Build and lead a high-performing team of AI engineers ML specialists and applied data scientists Foster a culture of innovation delivery excellence and business alignment Qualifications Must-Have Skills Experience 10 years in data science AI engineering with 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 Solid experience working with both structured financial datasets and unstructured data sources e g filings call transcripts research Familiarity with front-office workflows in ECM DCM M A and investment research Experience deploying AI solutions in secure high-compliance environments on-premise hybrid cloud or private cloud Strong communication and stakeholder management skills especially with senior bankers and C-level executives What Success Looks Like AI tools embedded into daily workflows of bankers and analysts Reduction in manual effort across client targeting pitch preparation and market monitoring Data assets and ML models fully aligned with enterprise governance and architecture Scalable AI platform that evolves with the pace of the business and innovation Why Join Us Shape the future of investment banking with cutting-edge AI Work at the intersection of technology capital markets and innovation High visibility and impact across the front office and C-suite Access to world-class data partners and AI infrastructure Education Bachelor s degree University degree or equivalent experience Master s degree preferred Preferred 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 - 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 View Citi s EEO Policy Statement and the Know Your Rights poster

📌 Head Of Applied Ai Engineering – Investment Banking (Maharashtra)
🏢 Citi
📍 Maharashtra