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- Tasks: Design and develop innovative AI agents to revolutionise business operations.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, professional growth, and a collaborative work environment.
- Why this job: Shape the future of finance with impactful AI projects.
- Qualifications: Advanced degree in relevant fields and experience in AI applications.
- Other info: Be part of a dynamic team focused on responsible AI innovation.
The predicted salary is between 36000 - 60000 £ per year.
Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement.
Responsibilities
- Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.
- Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.
- Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.
- Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.
- Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.
- Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.
- Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.
- Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.
- Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.
Required Qualifications, Capabilities, And Skills
- Advanced degree in Computer Science, Data Science, Machine Learning, or related field.
- Experience building and deploying agentic AI applications in production environments.
- Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.
- Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.
- Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.
- Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.
- Familiarity with cloud platforms and containerization technologies.
- Strong problem-solving skills and ability to work independently and collaboratively.
- Effective communication skills for technical and non-technical audiences.
Preferred Qualifications, Capabilities, And Skills
- Experience in financial services, especially investment banking operations.
- Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.
- Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.
- Experience with distributed computing, data sharding, and performance optimization.
- Hands-on experience with AWS services related to AI deployment and workflow orchestration.
Why Join Us?
We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Applied AI Engineer - Agentic Systems - Senior Associate in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer - Agentic Systems - Senior Associate in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and multi-agent systems. We love seeing real-world applications of your expertise, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to agentic systems. We recommend practicing with friends or using mock interview platforms to get comfortable discussing your experience and problem-solving skills.
✨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’re always on the lookout for passionate individuals ready to make an impact in the world of AI-driven business operations.
We think you need these skills to ace Applied AI Engineer - Agentic Systems - Senior Associate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in building multi-agent systems and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven business operations and how your background aligns with our mission. Let us know what excites you about the role and how you can make an impact.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and experience with ML frameworks like PyTorch and TensorFlow. We love seeing hands-on experience, so include any projects or applications you've developed that demonstrate your technical prowess.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to see what you bring to the table!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like PyTorch, TensorFlow, and the various agent frameworks. Brush up on your Python skills and be ready to discuss how you've implemented these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in AI or multi-agent systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Impact
Be ready to discuss how your work with AI can drive measurable business outcomes. Think about how you can articulate the value of your projects in terms of efficiency, cost savings, or improved decision-making for stakeholders.
✨Practice Effective Communication
Since you'll need to communicate with both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between teams and ensure everyone is on the same page.
