Engineering - AI Agents Engineer - Analyst - London
Engineering - AI Agents Engineer - Analyst - London

Engineering - AI Agents Engineer - Analyst - London

London Full-Time 100000 - 126000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement cutting-edge AI solutions to enhance operational efficiency.
  • Company: Goldman Sachs is a leading global investment banking and securities firm.
  • Benefits: Enjoy a dynamic work environment with opportunities for growth and development.
  • Why this job: Be at the forefront of AI innovation, collaborating with diverse teams to make a real impact.
  • Qualifications: Bachelor's degree in a quantitative field and experience in AI solutions required.
  • Other info: This is an entry-level full-time position based in London.

The predicted salary is between 100000 - 126000 £ per year.

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Join to apply for the Engineering – AI Agents Engineer – Analyst – London role at Goldman Sachs

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Job Description
Join our Control, Finance & Operating (CF&O) Artificial Intelligence (AI) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes

Job Description
Join our Control, Finance & Operating (CF&O) Artificial Intelligence (AI) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes
through cutting-edge AI and Generative AI (GenAI) modeling and automation. You will get to work on one of the firm’s priorities for 2025, and leverage AI solutions to accelerate and transform business technology as well as enhancing the productivity of our people.
As a member of the CF&O AI team, you will be at the forefront of designing, developing, and implementing innovative AI solutions across diverse areas including Risk, Controllers, Legal, and other critical domains. This exciting opportunity will see you collaborating with key stakeholders from these divisions to strategically deploy prioritized AI applications, thereby significantly improving our operational efficiency and improving productivity. The CF&O AI team operates horizontally across CF&O divisions, with a clear mandate to strategically roll out impactful AI applications.
Key Responsibilities

  • Design, develop, and implement advanced AI and GenAI solutions to address complex challenges in Risk, Controllers, Legal, and other domains.
  • Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements.
  • Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and other advanced methodologies, to develop robust AI models and solutions.
  • Partner with business leaders and classic business teams to understand their needs and integrate AI solutions seamlessly into their workflows.
  • Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications.
  • Continuously monitor and evaluate the performance of AI models, making necessary adjustments to optimize their effectiveness and accuracy.
  • Stay abreast of the latest advancements in AI and GenAI technologies, and proactively identify opportunities to incorporate these innovations into our AI strategies.

Qualifications, Experience, And Attributes

  • Bachelor\’s degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact.
  • Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI methodologies.
  • Strong fullstack development experience with TypeScript and React for frontend development coupled with FastAPI/Flask for Python backend services, with additional OfficeJS API knowledge preferred
  • Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks including Langchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY
  • Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions.
  • Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
  • A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges.

What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.
Who We Look For
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in 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.
About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We\’re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Sales and Business Development

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Engineering - AI Agents Engineer - Analyst - London employer: Goldman Sachs

Goldman Sachs is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the cutting-edge field of AI. Employees benefit from extensive training and development opportunities, a commitment to diversity and inclusion, and the chance to work on impactful projects that shape the future of finance. Located in London, our team thrives in a vibrant city known for its rich history and modern advancements, making it an ideal place for personal and professional growth.
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Contact Detail:

Goldman Sachs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering - AI Agents Engineer - Analyst - London

✨Tip Number 1

Familiarise yourself with the latest AI and GenAI technologies, especially those mentioned in the job description like Retrieval-Augmented Generation (RAG) and AI agents. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals already working in AI roles or at Goldman Sachs. Attend industry events, webinars, or meetups where you can connect with them. Building these relationships can provide you with insider insights and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss your practical experience with AI solutions. Think of specific projects where you've designed or implemented AI models, and be ready to explain the challenges you faced and how you overcame them. This will demonstrate your hands-on expertise and problem-solving skills.

✨Tip Number 4

Showcase your collaboration skills by preparing examples of how you've worked with cross-functional teams in the past. Highlighting your ability to communicate effectively with both technical and non-technical stakeholders will be crucial, as this is a key aspect of the role.

We think you need these skills to ace Engineering - AI Agents Engineer - Analyst - London

Advanced AI and GenAI solution design
Proficiency in Retrieval-Augmented Generation (RAG)
Experience with AI agents and advanced AI methodologies
Fullstack development with TypeScript and React
Backend development using FastAPI/Flask
Knowledge of OfficeJS API
Familiarity with modern RAG/Agent frameworks such as Langchain/Langgraph and Llamaindex
Strong analytical and problem-solving skills
Ability to translate complex business requirements into effective AI solutions
Excellent collaboration and communication skills
Proactive and innovative mindset
Passion for staying updated on AI and GenAI advancements

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in AI and GenAI solutions. Focus on specific projects or roles where you've designed, developed, or implemented AI technologies, especially those that align with the responsibilities outlined in the job description.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills can contribute to Goldman Sachs' goals. Mention specific techniques like Retrieval-Augmented Generation (RAG) that you are familiar with, and explain how you can leverage them to enhance operational efficiency.

Showcase Collaboration Skills: Highlight experiences where you've successfully collaborated with diverse teams. Emphasise your ability to communicate effectively with both technical and non-technical stakeholders, as this is crucial for the role.

Demonstrate Continuous Learning: Mention any recent courses, certifications, or projects that showcase your commitment to staying updated with the latest advancements in AI and GenAI technologies. This will show your proactive mindset and eagerness to innovate.

How to prepare for a job interview at Goldman Sachs

✨Understand AI and GenAI Concepts

Make sure you have a solid grasp of AI and Generative AI concepts, especially techniques like Retrieval-Augmented Generation (RAG). Be prepared to discuss how these can be applied in real-world scenarios, particularly in the context of operational efficiency.

✨Showcase Your Technical Skills

Highlight your full-stack development experience, especially with TypeScript, React, and Python frameworks like FastAPI or Flask. Be ready to provide examples of projects where you've successfully implemented these technologies.

✨Demonstrate Collaboration Abilities

Since the role involves working with various stakeholders, prepare to discuss past experiences where you collaborated effectively with both technical and non-technical teams. Emphasise your communication skills and how you can bridge gaps between different departments.

✨Stay Updated on AI Trends

Show your passion for AI by discussing recent advancements in the field. Mention any relevant articles, research, or innovations that excite you, and how you envision incorporating these into your work at Goldman Sachs.

Engineering - AI Agents Engineer - Analyst - London
Goldman Sachs
G
  • Engineering - AI Agents Engineer - Analyst - London

    London
    Full-Time
    100000 - 126000 £ / year (est.)

    Application deadline: 2027-08-03

  • G

    Goldman Sachs

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