At a Glance
- Tasks: Develop advanced AI models and enhance banking experiences for customers.
- Company: Join J.P. Morgan, a global leader in financial services with a people-first culture.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and continuous learning.
- Why this job: Make a real impact by solving complex problems with cutting-edge technology.
- Qualifications: Advanced degree in STEM and experience in AI/ML required.
The predicted salary is between 60000 - 80000 € 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 Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution‑oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations.
Job Responsibilities
- Development of advanced machine learning models to address complex operational challenges.
- Evaluating and communicating the impact brought by proposed solutions.
- Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes.
- Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions.
- Analyze large datasets to extract actionable insights and support data‑driven decision‑making at a strategic level.
- Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long‑term sustainability.
- Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations.
- Mentor and guide junior team members, fostering a culture of innovation and continuous learning.
Required Qualifications, Capabilities, And Skills
- Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML.
- Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms.
- Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.
- Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.
- Extensive experience with generative AI models, mainly as cloud service APIs (e.g., "OpenAI").
- Experience with integrating user feedback to establish self‑improving AI applications.
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS).
- Excellent problem‑solving skills and the ability to work independently and collaboratively.
- Strong communication skills to effectively convey complex technical concepts to non‑technical stakeholders.
Preferred Qualifications, Capabilities, And Skills
- A Ph.D. is a plus but not required.
- Experience in software engineering practices.
- Experience in developing AI solutions using agentic frameworks.
- Experience fine‑tuning LLMs with advanced techniques.
- Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering.
- Demonstrated ability to design and implement AI application architecture.
- Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.
About Us
J.P. 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.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Software Engineer II - Applied AI employer: JPMorganChase
At J.P. Morgan, we pride ourselves on being a people-first employer that fosters a collaborative and inclusive work culture. As a Software Engineer II in Applied AI, you will have the opportunity to work on innovative projects that directly impact customer experiences while benefiting from extensive professional development and mentorship. Our commitment to diversity, continuous learning, and cutting-edge technology makes us an exceptional place for talented individuals looking to grow their careers in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer II - Applied AI
✨Tip Number 1
Network like a pro! Reach out to current employees at JPMorgan Chase on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Applied AI team. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and AI/ML concepts. Use platforms like LeetCode or HackerRank to practice. Remember, they want to see how you think and solve problems, so be ready to explain your thought process!
✨Tip Number 3
Show your passion for AI and machine learning! During interviews, share your personal projects or contributions to open-source AI initiatives. This demonstrates your commitment and curiosity, which are key traits they’re looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the JPMorgan Chase team. Good luck!
We think you need these skills to ace Software Engineer II - Applied AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer II role. Highlight your AI/ML projects and any relevant tech you've worked with, especially if it’s on AWS!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of your work that demonstrate your problem-solving skills and curiosity.
Showcase Your Technical Skills:Don’t just list your skills; show us how you’ve applied them! Mention any machine learning frameworks you’ve used and how you’ve tackled challenges in previous projects. We love seeing real-world applications.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our system quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI/ML technologies and frameworks like TensorFlow and PyTorch. Brush up on your Python skills, especially focusing on code quality and testing, as these will be crucial in demonstrating your technical expertise during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex operational challenges using machine learning models. Be ready to explain your thought process and how your solutions made a tangible impact, as this aligns with their focus on delivering outstanding customer experiences.
✨Emphasise Collaboration and Communication
Since the role involves working in a diverse and geographically distributed team, highlight your experience in collaborative projects. Practice explaining complex technical concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders.
✨Stay Curious and Informed
Demonstrate your curiosity by discussing recent advancements in AI/ML that excite you. This shows that you’re not just knowledgeable but also passionate about the field, which is something they value highly in their candidates.