At a Glance
- Tasks: Design and build scalable data platforms while optimising AI capabilities.
- Company: Join J.P. Morgan, a global leader in financial services with a people-first culture.
- Benefits: Enjoy competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on diversity and inclusion.
- Why this job: Make a real impact by solving customer problems with innovative technology.
- Qualifications: Proficiency in Java or Python, experience with data pipelines and cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
Job Description
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.
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.
- 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.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e. g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e. g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- 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)
- #ICBCareer
- #ICBEngineering
ABOUT US
Morgan 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.
Our first-class business in a first-class way approach to serving clients drives everything we do.
We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize 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, 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.
Visit our FAQs for more information about requesting an accommodation.
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.
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Lead Software Engineer - Data & AI in London employer: Fairygodboss
ADP is an exceptional employer that prioritises a hybrid work culture, allowing Business Security Analysts to balance their professional and personal lives effectively. With a strong commitment to employee growth, ADP offers extensive training and development opportunities, fostering a diverse and inclusive environment where every associate can thrive. Located in vibrant cities across the UK, employees benefit from a collaborative atmosphere that encourages innovation and positions security as a key differentiator in the market.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - Data & AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Fairygodboss or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Fairygodboss.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Fairygodboss.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Fairygodboss that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lead Software Engineer - Data & AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Fairygodboss.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Fairygodboss and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Fairygodboss
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Fairygodboss uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
