At a Glance
- Tasks: Lead the development of innovative generative AI solutions and mentor a talented team.
- Company: Join Citi, a forward-thinking bank embracing cutting-edge technology.
- Benefits: Enjoy competitive salary, 27 days leave, private medical care, and hybrid work options.
- Other info: Dynamic environment with opportunities for professional growth and a supportive workplace culture.
- Why this job: Drive change with generative AI and make a real impact on client experiences.
- 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.
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 source 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 such as:
- 27 days annual leave (plus bank holidays)
- A discretional annual performance related bonus
- Private Medical Care & Life Insurance
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
- 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.
If you are a self‑starter, have a passion for generative AI, and want to implement cutting‑edge technology solutions at a global scale, apply today.
Senior Generative AI Software Engineer — Innovation Lab (Hybrid) employer: Gravity Engineering Services Pvt Ltd.
Citi is an exceptional employer that fosters a culture of innovation and collaboration, particularly within its Innovation Lab in the UK. As a Senior Generative AI Software Engineer, you will not only lead groundbreaking projects but also benefit from a supportive work environment that prioritises professional growth, offers a competitive salary, and provides extensive benefits including generous annual leave and private medical care. With a commitment to diversity and inclusion, Citi ensures that every employee can thrive while contributing to transformative technology solutions.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Generative AI Software Engineer — Innovation Lab (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the generative AI space, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI and LLMs. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in generative AI. Be ready to discuss your experience with frameworks like TensorFlow and PyTorch, and how you've tackled real-world problems using these technologies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Generative AI Software Engineer — Innovation Lab (Hybrid)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with generative AI and machine learning in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences relate to the responsibilities listed in the job description. This shows us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant to the role – we want to understand your message without any confusion!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Generative AI Inside Out
Make sure you’re well-versed in the latest generative AI techniques, especially GANs and VAEs. Brush up on your knowledge of large language models and be ready to discuss how they can elevate client experiences.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples that highlight your leadership style. Think about times when you fostered innovation or mentored team members, and be ready to share these stories.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Be ready to demonstrate your proficiency in programming languages like Python and frameworks such as TensorFlow or PyTorch. Practice explaining complex concepts in simple terms.
✨Engage with Stakeholders
This role requires collaboration with various business partners. Prepare to discuss how you’ve successfully engaged stakeholders in past projects and how you plan to drive the adoption of generative AI solutions across teams.
