At a Glance
- Tasks: Lead the design and development of innovative AI solutions at Citi Innovation Labs.
- Company: Join a global leader in technology and innovation at Citi.
- Benefits: Enjoy 27 days annual leave, private medical care, and a competitive salary.
- Why this job: Drive change and make an impact in the fast-paced world of AI.
- Qualifications: Proven experience in software engineering and leadership roles.
- Other info: Hybrid working model with opportunities for career growth and skill development.
The predicted salary is between 43200 - 72000 £ per year.
We're on the hunt for a highly skilled and experienced senior engineer to lead the design and development of various AI services as part of the Citi Innovation Labs. The ideal candidate has an excellent track record leading teams of engineers and/or data scientists and building high-scale engineering products, specifically AI solutions. In this role, you'll be a key player in driving innovative AI projects throughout the bank.
Citi Innovation Labs is a global network of innovation centers focused on delivering cutting-edge solutions to all of Citi's lines of business. Our Mission is to create a competitive advantage for our clients, manifested as change in the way they operate, by providing innovative technological solutions with strong client engagement, from idea to production, and by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs.
Our Labs Network is a global organization that spans across New York, London, Tel Aviv, and various other locations globally. We focus on delivering innovative products using cutting-edge technologies in highly complex architectures and with the highest delivery standards. The Innovation Labs team performs research and implementation in many advanced domains spanning across AI, Machine learning, NLP, Analytics, Blockchain/Distributed Ledger Technology and many more.
Responsibilities
- Lead development of highly complex AI solutions, infrastructure, and architecture topics
- Lead a team of engineers and data scientists
- Manage executive stakeholder audience in technology by acting as a partner, trusted advisor and operating through influence
- Work with internal and external partners to design, validate, and deliver solutions with a commercial benefit for Citi
- Manage multiple concurrent initiatives and projects of varying sizes & complexity
- Engage with data science, technical and business stakeholders to define and design overall architecture for key use cases across our lines of business
- Work with external vendors and start-ups around joint initiatives and exploration of new directions
- Partner with Citi's Risk and Governance partners to ensure best practice is followed from the perspectives of good governance, risk management, standardization, and tooling.
Qualifications
- Significant experience in the software industry
- Proven experience in senior positions as principal engineer or architect
- Experience as a people manager
- Highly experienced in delivering complex solutions to production, preferably in Python and AI/ML ecosystem
- Great passion and proven hands-on experience integrating with AI/ML technologies
- Strong and diverse technical background. Ability to quickly learn and understand new technologies, influence highly skilled engineering teams and overall have a personal impact on technology decisions and vision.
- Experience with cloud architectures, and specific experience with public cloud offerings
- Proficiency in programming languages such as Python.
- Excellent communication skills
- Leadership and organizational abilities
- Excellent analytical and problem-solving skills
- Strategic thinker
- Experience in the financial industry – major advantage
What we'll provide you
This is a unique role that will put you in the position to be part of a new venture and 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 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.
Benefits
- 27 days annual leave (plus bank holidays)
- A discretionary annual performance related bonus
- Private Medical Care & Life Insurance
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
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.
Lead GenAI Lead Engineer/Architect, Innovation Labs - SVP in London employer: Citi
Contact Detail:
Citi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead GenAI Lead Engineer/Architect, Innovation Labs - SVP in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Citi or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your past projects, especially those involving AI and machine learning. This will help you stand out during interviews and discussions.
✨Tip Number 3
Stay updated on the latest trends in AI and tech. Follow relevant blogs, podcasts, and news sources. Being knowledgeable about current developments will impress interviewers and show your passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Citi Innovation Labs team.
We think you need these skills to ace Lead GenAI Lead Engineer/Architect, Innovation Labs - SVP in London
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your experience in leading teams and delivering complex AI solutions. We want to see how you've made an impact in your previous roles, so don't hold back!
Tailor Your Application: Take a moment to customise your application for this role. Use the job description as a guide to align your skills and experiences with what we're looking for. This shows us that you really understand the position and are genuinely interested.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's relevant, and make sure your passion for AI and innovation shines through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Citi
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be prepared to discuss your hands-on experience with these technologies, especially in Python. This will show that you’re not just familiar with the concepts but have practical knowledge that can be applied.
✨Showcase Your Leadership Skills
As a Lead Engineer/Architect, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've successfully managed teams of engineers or data scientists in the past. Highlight your communication skills and how you’ve influenced stakeholders to drive projects forward.
✨Understand the Business Context
Familiarise yourself with Citi's business model and how AI solutions can create competitive advantages. Be ready to discuss how your previous work aligns with their mission to innovate and deliver value to clients. This shows that you’re not just technically savvy but also understand the bigger picture.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI architecture and cloud solutions. Brush up on your knowledge of cloud architectures and be ready to discuss specific public cloud offerings. Practising coding problems in Python can also help you feel more confident during the technical assessment.