At a Glance
- Tasks: Lead the vision for Data & AI capabilities, driving innovation and collaboration.
- Company: Join JPMorgan Chase's dynamic team focused on real-world problem-solving.
- Benefits: Competitive salary, diverse culture, and opportunities for personal growth.
- Other info: Embrace diversity and foster a culture of inclusion and accountability.
- Why this job: Make a significant impact in a people-first environment with cutting-edge technology.
- Qualifications: Experience in software engineering, cloud technologies, and leading teams.
The predicted salary is between 80000 - 100000 £ 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 Principal Software Engineer - Engineering Manager at JPMorgan Chase within the Accelerator Business, you would be responsible for the vision for the Data and AI capabilities of the platform - to enable product teams to focus on their core problems and platform would cover the rest. To give a not complete list of examples: data ingestion, transformation, exposing in various query engines, LLM patterns, audit, safety guardrails, compliance and observability.
While we’re looking for professional skills, culture is just as important to us. We understand that everyone's unique – and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world.
Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark, VertexAI, ModelArmor, DeepEval, Google ADK.
Job responsibilities:
- Set the vision and multi-year strategy for the Data & AI Platform that powers Chase’s next-generation digital experiences, translating enterprise priorities into an executable roadmap and measurable outcomes.
- Lead and scale a multi-discipline organization spanning data platform engineering and AI/MLOps, establishing clear ownership, org structure, operating rhythms, and standards for delivery.
- Own the platform’s end-to-end data foundation—ingestion, transformation, orchestration, metadata/catalog, quality, and governed data products—built for reliability, scalability, and self-service adoption.
- Serve as the executive steward for compliant use of customer data, ensuring privacy, access controls, lineage, retention, and auditability are embedded by design and aligned to firm risk and regulatory expectations.
- Define and deliver platform enablement for LLM-powered applications, including reference architectures, developer tooling, model onboarding and deployment patterns, evaluation and testing, observability, and cost/latency guardrails.
- Establish engineering excellence and operational maturity through SLOs, resiliency practices, incident management, release governance, capacity planning, and continuous improvement across the platform.
- Drive a product-oriented platform model by partnering with product, security, legal, risk, architecture, and engineering leaders to prioritize the highest-leverage capabilities and accelerate adoption across teams.
- Enable data-driven product development at scale through trusted analytics pipelines, standardized telemetry, experimentation support, and consistent metrics to inform decisions and improve customer outcomes.
- Attract, develop, and retain top talent by building leadership depth, setting high standards, coaching managers and senior engineers, and fostering a culture of ownership, inclusion, and accountability.
Required qualifications, capabilities and skills:
- Being a problem solver: you can independently analyze a problem and come up with options on how to solve it.
- Flexibility regarding tools and languages: for example you have to be open to debug a permission issue one day in a python service and dig into some Java/Kotlin out-of-memory issue the other day (of course we take into account your expertise and you will have team members to help you out!).
- Knowledge of data structures.
- Experience with either Kubernetes or Docker.
- Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event-driven architectures.
- Experience in leading people.
Preferred qualifications, capabilities and skills:
- Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.).
- Experience with Kafka Connect.
- Preferably experience in setting up data platforms, setting standards - not just pipelines.
- Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink).
- Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP).
- Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow).
- Experience with deploying to a GenAI platform a production system: Google VertexAI, OpenAI, AWS Bedrock, LangChain, etc.
Principal Software Engineer - Engineering Manager - Data and AI Platform in London employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being a people-first employer that fosters a collaborative and inclusive work culture. As a Principal Software Engineer - Engineering Manager in our innovative Accelerator Business, you will have the opportunity to lead cutting-edge projects in Data and AI while benefiting from a supportive environment that prioritises your professional growth and development. With a commitment to diversity and a focus on real-world problem-solving, you'll be part of a team that not only values your unique perspective but also empowers you to make a significant impact on our clients and communities.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer - Engineering Manager - Data and AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to data and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios relevant to the role. Think about how your experience aligns with their needs, especially around leadership and tech 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 love seeing candidates who are proactive!
We think you need these skills to ace Principal Software Engineer - Engineering Manager - Data and AI Platform in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the Data and AI Platform and how you can contribute to our mission of solving real-world problems.
Tailor Your CV:Make sure to customise your CV to highlight relevant experience and skills that match the job description. We love seeing how your background aligns with our needs, so don’t be shy about showcasing your expertise in Java, Kubernetes, or any other tech we use!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we’re looking for problem solvers who can articulate their thoughts well!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Kotlin, Kubernetes, and GCP. Brush up on your knowledge of data structures and distributed systems, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As a Principal Software Engineer - Engineering Manager, you'll need to demonstrate your ability to lead and develop teams. Prepare examples of how you've successfully managed projects or mentored team members in the past, highlighting your commitment to fostering a culture of ownership and inclusion.
✨Understand the Business Impact
Be ready to discuss how your work can solve real-world problems and enhance customer experiences. Think about how the Data and AI Platform can drive product development and improve outcomes, and be prepared to share your vision for its future.
✨Emphasise Collaboration and Diversity
Since the company values collaboration and diverse perspectives, come prepared to discuss how you’ve worked effectively in diverse teams. Share experiences that highlight your curiosity and commitment to understanding different viewpoints, as this aligns with their people-first culture.
