Engineering AI Software Engineer - Vice President - London

Engineering AI Software Engineer - Vice President - London

Full-Time 100000 - 150000 € / year (est.) No home office possible
Goldman Sachs

At a Glance

  • Tasks: Design and develop AI-driven tools to enhance developer productivity and streamline coding processes.
  • Company: Join Goldman Sachs, a leader in innovation and technology.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on continuous learning and development.
  • Why this job: Make a real impact by shaping the future of coding with cutting-edge AI solutions.
  • Qualifications: Bachelor's degree in computer science and 6 years of relevant experience required.

The predicted salary is between 100000 - 150000 € per year.

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in artificial intelligence, risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. This team is dedicated to creating tools and platform services that enhance the developer experience for all GS engineers.

The primary focus will be on building services and tools to help developers write better and more secure code by implementing best practices, automated code reviews, and security checks. These tools will leverage AI to provide real-time feedback and suggestions, ensuring that code quality and security standards are consistently met. Additionally, the role involves creating comprehensive documentation and training materials to support developers in adopting these tools effectively.

Another key focus will be on building agentic workflows to simplify the developer experience and help them become more productive by streamlining processes, reducing manual tasks, and providing intelligent recommendations based on historical data and best practices. The ideal candidate will focus on improving developer productivity through the use of AI-driven coding assistants and leveraging internal knowledge and development practices to enable smarter decision-making.

Key Responsibilities
  • Design, develop, and maintain tools and platform services that enhance the developer experience.
  • Implement AI-driven solutions to assist with coding and improve developer productivity.
  • Collaborate with cross-functional teams to integrate internal knowledge and best practices into development tools.
  • Continuously evaluate and improve existing tools and platforms to ensure they meet the evolving needs of GS engineers.
  • Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms).
  • Provide technical guidance and support to other team members and stakeholders.
  • Stay up to date with the latest industry trends and technologies to ensure our tools and platforms remain cutting-edge.
  • Champion AI tools and solutions through AI governance committees for approval, demonstrating compliance with security standards, model validation requirements, and regulatory guidelines to ensure safe release into production.
  • Monitor and maintain compliance of deployed AI tools through regular security audits, vulnerability assessments, and updates to meet evolving regulatory requirements and internal policy changes.
Basic Qualifications
  • Bachelor's or master's degree in computer science, engineering, or a related field.
  • Minimum 6 years of relevant industry experience.
  • Proficiency in programming languages such as Python, Java, or GoLang.
  • Experience with AI and machine learning technologies, particularly in the context of coding assistants.
  • Strong problem-solving skills and the ability to think critically and creatively.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Experience of using and developing RESTful web services.
  • Experience or interest in building mission-critical and highly available systems.
  • Experience of end-to-end design and implementation of software products.
  • Team player, eager to work in a regional agile/scrum pod within a global organization.
  • Analytical mindset, creativity, and commercial focus to deliver optimal solutions for the business.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.

Engineering AI Software Engineer - Vice President - London employer: Goldman Sachs

Goldman Sachs is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. Employees benefit from a culture that prioritises professional growth, with access to cutting-edge AI technologies and opportunities to enhance their skills through comprehensive training and mentorship. The company fosters a supportive atmosphere that encourages creativity and problem-solving, making it an ideal place for those looking to make a meaningful impact in the field of engineering and technology.

Goldman Sachs

Contact Detail:

Goldman Sachs Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineering AI Software Engineer - Vice President - London

Tip Number 1

Network like a pro! Reach out to current or former employees at Goldman Sachs on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!

Tip Number 2

Prepare for those technical interviews! Brush up on your coding skills, especially in Python, Java, or GoLang. Practising common algorithms and data structures will help us shine during the interview.

Tip Number 3

Show off our passion for AI! Be ready to discuss how we’ve used AI in past projects or how we envision it improving developer productivity. This will demonstrate our alignment with their focus on innovation.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re serious about joining the team!

We think you need these skills to ace Engineering AI Software Engineer - Vice President - London

Artificial Intelligence
Machine Learning
Python
Java
GoLang
RESTful Web Services
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your proficiency in programming languages like Python, Java, or GoLang, and any experience you have with AI and machine learning technologies.

Craft a Compelling Cover Letter:Use your cover letter to showcase your problem-solving skills and creativity. Mention specific projects where you've implemented AI-driven solutions or improved developer productivity, as this will resonate well with us at StudySmarter.

Showcase Collaboration Skills:Since we value teamwork, emphasise your experience working in cross-functional teams. Share examples of how you've collaborated effectively to integrate best practices into development tools, as this is key for the role.

Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets the attention it deserves and allows us to process it more efficiently. Plus, it’s super easy!

How to prepare for a job interview at Goldman Sachs

Know Your Tech Inside Out

Make sure you’re well-versed in the programming languages mentioned in the job description, like Python, Java, or GoLang. Brush up on AI and machine learning technologies, especially those related to coding assistants, as these will be crucial in your role.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems creatively. Think about how you’ve improved developer productivity or enhanced tools in previous roles, as this aligns perfectly with what they’re looking for.

Collaboration is Key

Since the role involves working with cross-functional teams, be ready to share experiences that highlight your teamwork and communication skills. Discuss how you’ve collaborated on projects and integrated best practices into development tools.

Stay Current with Industry Trends

Familiarise yourself with the latest trends in AI and software development. Being able to discuss recent advancements or tools that could benefit Goldman Sachs will show your enthusiasm and commitment to innovation in the field.