At a Glance
- Tasks: Lead the development of innovative generative AI solutions and mentor a talented team.
- Company: Join Citi Innovation Lab, a leader in tech solutions for global banking.
- Benefits: Enjoy a competitive salary, hybrid work model, and professional growth opportunities.
- Other info: Dynamic environment with exciting challenges to enhance your career.
- Why this job: Drive change with cutting-edge AI technology and make a real impact in banking.
- Qualifications: Ph.D. or master's in relevant field, experience in machine learning, and strong programming skills.
The predicted salary is between 80000 - 100000 £ per year.
About the Role
Join Citi Innovation Lab, a leader in creating innovative technology solutions and ground-breaking innovations for Citi's global banking business. Spanning across cities like New York, Dublin, London, Tel Aviv, Singapore and Shanghai, the lab network focuses on delivering cutting‑edge products that use the latest technologies, even in highly complex setups, all while maintaining the highest delivery standards. The team works on research and implementation across various advanced domains, including AI, Machine Learning, Natural Language Processing (NLP), analytics, blockchain and more. We are seeking a highly skilled and experienced Senior Generative AI Software Engineer to lead the development of generative AI (gen AI) solutions. In this role, you will be leading a team of gen AI software engineers and will be a crucial driver of innovative projects throughout the bank, utilising generative AI and large language models (LLM). You will work closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers and ensuring regulatory compliance through cutting‑edge technology solutions.
Key Responsibilities
- Leadership: Provide visionary leadership to the Generative AI project teams, fostering a culture of innovation, collaboration and excellence.
- Mentorship and talent development: Foster team members’ professional growth and ensuring the team's continued success.
- Strategy: Help mould and deliver on Citi’s generative AI strategy.
- Research and development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques, including GANs, VAEs and other relevant technologies.
- Monitoring ongoing research: Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends and ensuring that the Generative AI team remains at the forefront of the field.
- Product integration: Collaborate with product managers and engineers to integrate generative AI technologies into our products and services.
- Quality control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
- Stakeholder engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and LLM, identifying opportunities for innovation and value creation.
- Regulatory compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.
Qualifications
- Ph.D., master’s or equivalent experience in a relevant field (such as computer science and/or machine learning).
- Experience in machine learning, delivering complex solutions to production.
- Proven hands‑on experience in data science, (NLP), natural language understanding (NLU) and natural language generation (NLG).
- In-depth knowledge of deep learning frameworks, such as TensorFlow, PyTorch and other open sources libraries/APIs or similar.
- Proficiency in programming languages such as Python.
- Excellent problem-solving skills and the ability to think creatively.
- Strong communication and collaboration skills, with the ability to work effectively with cross‑functional teams.
- Publications and contributions to the AI research community are a plus.
What we can offer you
This is a unique role that will put you in the position to actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi in UK, 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.
Senior Generative AI Software Engineer — Innovation Lab employer: Citi
Citi Innovation Lab is an exceptional employer that fosters a culture of innovation and collaboration, providing employees with the opportunity to lead cutting-edge projects in generative AI and advanced technologies. With a focus on professional growth, a hybrid working model, and a competitive salary package, team members are empowered to drive meaningful change while enjoying a supportive work environment. Located in the UK, this role offers unique advantages for those looking to make a significant impact in the banking sector through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Generative AI Software Engineer — Innovation Lab
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Citi or similar companies. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects. Whether it's GitHub repos or personal websites, let your work speak for itself and demonstrate your expertise in AI and machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and be ready to discuss your past projects and how they align with Citi's innovative goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Citi Innovation Lab.
We think you need these skills to ace Senior Generative AI Software Engineer — Innovation Lab
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Generative AI Software Engineer role. Highlight your expertise in machine learning, NLP, and any relevant projects you've led or contributed to.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about generative AI and how your background makes you a perfect fit for our Innovation Lab. Share specific examples of your work that demonstrate your leadership and innovative thinking.
Showcase Your Projects:If you've worked on any notable projects involving generative AI or deep learning frameworks, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. This ensures your application goes straight to our hiring team, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Citi
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest advancements in generative AI, especially techniques like GANs and VAEs. Be ready to discuss how these technologies can be applied in real-world banking scenarios, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples of how you've successfully led projects or mentored others in the past. Highlight your ability to foster collaboration and innovation within a team, as this is crucial for driving generative AI initiatives.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your programming skills, particularly in Python, and be ready to solve problems on the spot. Familiarise yourself with deep learning frameworks like TensorFlow and PyTorch, as they may come up in conversation.
✨Understand Regulatory Compliance
Citi places a strong emphasis on regulatory compliance in AI initiatives. Be prepared to discuss how you would ensure that generative AI solutions meet these requirements while still pushing the boundaries of innovation. This shows that you understand the balance between creativity and compliance.