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For Companies At a Glance
- Tasks: Lead AI projects, mentor engineers, and develop innovative solutions for risk management.
- Company: Join JPMorgan Chase, a leader in financial technology with a focus on AI.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
- 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 100000 - 150000 £ 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 employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - AI
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at JPMorgan Chase. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with AI solutions, multi-agent systems, and any cool projects you've worked on. Let them see your passion and expertise in action.
✨Prepare for Technical Interviews
Brush up on your coding skills and be ready to tackle some technical challenges. Practice common algorithms and data structures, especially in Python, since that’s a biggie for this role. We want you to shine during those interviews!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at JPMorgan Chase.
We think you need these skills to ace Lead Software Engineer - AI
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 you've led or contributed to.
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 the perfect fit for this role. Be sure to mention specific technologies and methodologies you’ve worked with that relate to the job description.
Showcase Your Leadership Skills: Since this role involves mentoring and guiding a team, make sure to highlight your leadership experience. Share examples of how you've fostered best practices or led projects that had a significant impact on your team or organisation.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and AWS. Brush up on your experience with LangGraph and multi-agent systems, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Prepare examples of how you've mentored junior engineers or led projects in the past. JPMorgan Chase values leadership, so be ready to discuss how you foster best practices and promote a culture of excellence within your team.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think about how you can convey your ideas clearly and concisely.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Think about how you would approach designing AI frameworks or handling data pipelines, and be ready to discuss your thought process.