At a Glance
- Tasks: Lead AI projects, mentor engineers, and develop innovative solutions for risk technology.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technologies and talented teams.
- Qualifications: Degree in Computer Science or related field; experience in data science and Python required.
The predicted salary is between 90000 - 120000 £ per year.
As a Lead Software Engineer for AI – Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi-agent system design, data science, and NLQ to deliver complex, high-impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end-to-end solutions that drive value for the Risk business.
Job Responsibilities
- Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources.
- Design and execute enterprise-wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types.
- Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, guardrails, and NLQ-driven data retrieval and processing.
- Guide research on context and prompt engineering techniques to improve prompt-based model performance and NLQ accuracy, utilizing libraries such as LangGraph.
- Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration.
- Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces.
- Write secure, high-quality production code and conduct code reviews.
- Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ-enabled solutions.
- Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership.
- Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.
Required Qualifications, Capabilities, And Skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Experience in data science and natural language querying, including experience deploying end-to-end pipelines on AWS.
- Strong proficiency in Python.
- Hands-on experience in system design, application development, testing, and operational stability.
- Experience using LangGraph for multi-agent orchestration and NLQ integration.
- Experience with AWS and infrastructure-as-code tools such as Terraform.
Preferred Qualifications, Capabilities, And Skills
- Strategic thinker with the ability to drive technical vision for business impact.
- Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows.
- Demonstrated leadership working with engineers, data scientists, and AI practitioners.
- Familiarity with MLOps practices and AI pipelines.
- Hands-on experience building and maintaining user interfaces for NLQ and data exploration.
Lead Software Engineer - AI for Risk Technology in London employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being an exceptional employer, particularly for our Lead Software Engineer role in AI for Risk Technology. Our collaborative work culture fosters innovation and continuous learning, providing ample opportunities for professional growth while working on cutting-edge AI solutions. Located in a dynamic environment, employees benefit from competitive compensation, comprehensive benefits, and the chance to make a significant impact within a leading financial institution.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - AI for Risk Technology in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at JPMorgan Chase. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and software engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate with both techies and non-techies.
✨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 take that extra step!
We think you need these skills to ace Lead Software Engineer - AI for Risk Technology in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Software Engineer role. Highlight your expertise in AI, data science, and software engineering, and don’t forget to mention any relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for the Risk Technology team. Be sure to mention specific experiences that demonstrate your leadership and technical skills.
Showcase Your Projects:If you've worked on any projects involving multi-agent systems, NLQ, or AWS, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our company culture there!
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, especially Python, AWS, and LangGraph. Brush up on your experience with multi-agent systems and natural language querying, as these will likely be hot topics during your interview.
✨Showcase Your Leadership Skills
As a Lead Software Engineer, you'll need to demonstrate your ability to mentor and guide a team. Prepare examples of how you've successfully led projects or teams in the past, focusing on fostering best practices and driving technical vision.
✨Prepare for Technical Questions
Expect to dive deep into system design and application development. Be ready to discuss your approach to building scalable data pipelines and how you ensure operational stability. Practising coding problems related to these areas can give you an edge.
✨Communicate Clearly and Confidently
You’ll need to explain complex technical concepts to both technical and non-technical stakeholders. Practice articulating your thoughts clearly, perhaps by explaining your past projects to a friend or family member who isn’t in tech. This will help you convey your ideas effectively during the interview.
