At a Glance
- Tasks: Lead the design and deployment of AI solutions to automate banking processes.
- Company: Join a top-rated Private Bank driving innovation in banking operations.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI in banking, making a real impact on efficiency and customer experience.
- Qualifications: Experience in AI/ML, proficiency in Python, and knowledge of banking operations required.
- Other info: This is a full-time director-level position based in London.
The predicted salary is between 79200 - 109200 ÂŁ per year.
Generative AI & LLM Lead – Banking – AI Strategy
Generative AI & LLM Lead – Banking – AI Strategy
Rothstein Recruitment provided pay range
This range is provided by Rothstein Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Rothstein Recruitment
Generative AI & LLM Lead – Banking – AI Strategy
Excellent opportunity opens to implement AI to automate Banking processes & tasks for top rated Private Bank (KYC, Finance, HR etc).
We\’re looking for a visionary GenAI & Automation Lead to drive the next wave of innovation in banking operations.
About the Role
As our GenAI & Automation Lead , you\’ll spearhead the design and deployment of Generative AI and LLM (Large Language Model) solutions that streamline operations, automate manual workflows, and enhance internal query resolution across the bank.
You\’ll sit at the heart of innovation—partnering with Compliance, Risk, Legal, Technology, and Data teams to embed cutting-edge AI tools into our core processes.
What You’ll Be Doing
- Define and execute the bank’s GenAI adoption strategy
- Identify high-impact use cases (e.g., compliance, onboarding, reporting, customer service)
- Prioritise opportunities based on ROI, risk, and feasibility
Solution Design & Delivery
- Lead development of LLM-powered tools (e.g., internal bots, summarizers, regulatory assistants)
- Collaborate with engineering/data teams on prompt engineering, tuning, and deployment
Process Automation
- Re-engineer manual workflows using AI, IDP, and natural language interfaces
- Integrate GenAI with RPA and workflow tools
Governance & Risk Management
- Establish governance frameworks for explainability, bias mitigation, and auditability
- Ensure compliance with data privacy laws and banking regulations
Change Management & Enablement
- Drive adoption through training and stakeholder engagement
- Build AI literacy and create continuous feedback loops
- Chief Operating Officer (COO)
- Heads of Compliance, Risk, Legal
- Data and Engineering Teams
- Business Unit Leaders
- Technology Vendors & AI Partners
What We’re Looking For
- Proven experience in AI/ML or automation roles (ideally within financial services)
- Deep knowledge of LLMs (GPT, Claude, LLaMA) and GenAI applications
- Proficiency in Python, APIs, cloud platforms (Azure, AWS, or GCP)
- Familiarity with RPA tools and banking operations
- Strong stakeholder management and communication skills
- Exposure to AI governance frameworks (e.g., NIST, EU AI Act)
- Background in process reengineering or Six Sigma
Preferred Qualifications
- Degree in Computer Science, Data Science, Engineering, or similar
- Relevant certifications in AI/ML, cloud, or process automation
Success Will Be Measured By
- Reduction in manual processing time
- Adoption and effectiveness of AI-powered tools
- Accuracy and audit readiness of LLM systems
- User satisfaction and productivity gains
Ready to lead the AI revolution in banking? Apply now or reach out for a confidential conversation.
#AIJobs #GenerativeAI #LLM #BankingInnovation #Automation #DigitalTransformation #Fintech #Hiring #TechLeadership #RPA #AIinBanking #Careers #LondonJobs
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Banking and Investment Banking
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Generative AI & LLM Lead - Banking - AI Strategy employer: Rothstein Recruitment
Contact Detail:
Rothstein Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI & LLM Lead - Banking - AI Strategy
✨Tip Number 1
Network with professionals in the banking and AI sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and leaders in the field. This can help you gain insights into the latest trends and may even lead to referrals.
✨Tip Number 2
Stay updated on the latest advancements in Generative AI and LLM technologies. Follow relevant blogs, podcasts, and research papers to deepen your understanding and be prepared to discuss these topics during interviews.
✨Tip Number 3
Demonstrate your expertise by working on personal projects or contributing to open-source initiatives related to AI in banking. This hands-on experience can showcase your skills and passion for the role.
✨Tip Number 4
Prepare for interviews by formulating thoughtful questions about the bank's current AI initiatives and future goals. This shows your genuine interest in the position and helps you stand out as a candidate who is proactive and engaged.
We think you need these skills to ace Generative AI & LLM Lead - Banking - AI Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML and automation, particularly within financial services. Emphasise your knowledge of LLMs and any specific projects you've led that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI in banking and detail how your skills can drive innovation. Mention specific use cases you’ve worked on that relate to compliance, onboarding, or customer service.
Showcase Technical Skills: Clearly list your technical proficiencies, especially in Python, APIs, and cloud platforms like Azure or AWS. If you have experience with RPA tools, make sure to highlight that as well.
Demonstrate Stakeholder Management: Provide examples of how you've successfully managed stakeholders in previous roles. This could include training sessions, stakeholder engagement strategies, or feedback loops you've implemented.
How to prepare for a job interview at Rothstein Recruitment
✨Showcase Your AI Expertise
Make sure to highlight your experience with Generative AI and LLMs during the interview. Be prepared to discuss specific projects you've worked on, particularly in the banking sector, and how they contributed to process automation or innovation.
✨Understand Banking Operations
Familiarise yourself with the key banking processes that could benefit from AI solutions, such as KYC, compliance, and customer service. This knowledge will help you demonstrate how your skills can directly impact the bank's operations.
✨Prepare for Technical Questions
Expect technical questions related to Python, APIs, and cloud platforms like Azure or AWS. Brush up on your coding skills and be ready to discuss how you've used these technologies in previous roles.
✨Emphasise Stakeholder Management Skills
Since this role involves collaboration with various teams, be ready to share examples of how you've successfully managed stakeholders in past projects. Highlight your communication skills and ability to drive change within an organisation.