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
1. 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.
2. 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.
3. Data Strategy - Drive integration of structured (, financial data, CRM) and unstructured (, filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams.
4. 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.
5. Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance.
6. 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
7. Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments.
8. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains.
9. Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices.
10. Strong experience working with both structured financial datasets and unstructured data sources (, filings, call transcripts, research).
11. Familiarity with front-office workflows in ECM, DCM, M&A, and investment research.
12. Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud).
13. Strong communication and stakeholder management skills, especially with senior bankers and C-level executives.
Preferred
14. Experience with knowledge graphs and graph-based search.
15. Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook.
16. Prior work on AI co-pilots, document summarization tools, or automated pitch generation.
17. Exposure to enterprise CRM systems and client intelligence platforms.
18. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field.
What Success Looks Like
19. AI tools embedded into daily workflows of bankers and analysts.
20. Reduction in manual effort across client targeting, pitch preparation, and market monitoring.
21. Data assets and ML models fully aligned with enterprise governance and architecture.
22. 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.
What we’ll provide you
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
23. 27 days annual leave (plus bank holidays)
24. A discretional annual performance related bonus
25. Private Medical Care & Life Insurance
26. Employee Assistance Program
27. Pension Plan
28. Paid Parental Leave
29. Special discounts for employees, family, and friends
30. Access to an array of learning and development resources
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
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Job Family Group:
Technology
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Job Family:
Business Analysis / Client Services
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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