At a Glance
- Tasks: Design and build scalable data platforms for analytics and AI/ML use cases.
- Company: Join JPMorgan Chase's innovative team focused on real-world problem-solving.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment with a strong focus on diversity and inclusion.
- Why this job: Be at the forefront of fintech, making a real impact with cutting-edge technology.
- Qualifications: Proficient in Java or Python, with experience in data pipelines and cloud platforms.
The predicted salary is between 76023 - 95029 £ per year.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission.
We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential.
Our team is key to our success.
We're people-first.
We value collaboration, curiosity and commitment.
As a Lead Software Engineer - Data & AI at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers.
You have a curious mindset, thrive in collaborative squads, and are passionate about new technology.
By your nature, you are also solution‑oriented, commercially savvy and have a head for fintech.
You thrive in working in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.
- Job Responsibilities
- Design, build, and maintain scalable data platforms and pipelines that support analytics and AI/ML use cases.
- Own and optimise Retrieval-Augmented Generation (RAG) pipelines to enable LLMs to safely and accurately use enterprise data.
- Implement and integrate Gen AI capabilities using platforms such as AWS Bedrock, Google Vertex AI, Azure AI, or equivalent services.
- Develop robust data processing workflows using batch and streaming systems.
- Design and implement testing strategies across data and AI systems, including unit, integration, end-to-end, and performance testing.
- Ensure solutions meet enterprise standards for security, privacy, compliance, and governance.
- Collaborate with data, platform, and product teams to deliver reliable and scalable data and AI services.
- Mentor team members on engineering best practices, system design, and maintainable software development.
- Preferred Qualifications, Capabilities And Skills
- Strong proficiency in Java or JVM‑based programming languages & good working knowledge of Python.
- Experience building and operating data pipelines and analytical systems using technologies such as Google Big Query, Amazon Athena, or Click House.
- Experience with distributed data processing frameworks such as Apache Spark and/or Apache Flink.
- Experience with messaging and streaming systems such as Apache Kafka or Apache Pulsar.
- Experience working with cloud‑based platforms (AWS, GCP, or Azure) and distributed systems architectures.
- Familiarity with cloud‑native Gen AI platforms such as Vertex AI, AWS Bedrock, or Azure Open AI.
- Strong understanding of containerization and orchestration technologies such as Docker and Kubernetes.
- Understanding of Retrieval-Augmented Generation (RAG) systems and AI‑assisted application architectures.
- Familiarity with embeddings, semantic search, vector databases, and context window limitations in LLM systems.
- Exposure to agent‑based architectures and emerging protocols such as the Model Context Protocol (MCP).
- Experience with MLOps tools and platforms (e. g., MLflow, Amazon Sage Maker, Google Vertex AI, Databricks, Bento ML, KServe, Kubeflow).
- About The Team
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network.
Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office.
You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
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, color, 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.
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