At a Glance
- Tasks: Lead AI software engineering projects and mentor a team of talented engineers.
- Company: Join JPMorgan Chase, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion in a dynamic workplace with excellent career advancement opportunities.
- Why this job: Make a real impact by developing cutting-edge AI solutions that drive business value.
- Qualifications: Bachelor's or Master's in Computer Science, strong Python skills, and experience in data science.
The predicted salary is between 70000 - 90000 £ 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.
Key Responsibilities:
- Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, focusing 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, utilising 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.
Qualifications:
- 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 with AWS and infrastructure-as-code tools such as Terraform.
- 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.
JPMorgan 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. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognise that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
