The AI/ML Associate Engineer is a handsâon software engineer who applies strong programming fundamentals to build, integrate, and support AI/ML solutions. The role focuses on writing productionâquality code while contributing to AIâpowered features, including (where applicable) solutions that leverage Microsoft 365 Copilot and Copilot Agents.
This role is ideal for engineers early in their AI/ML career who are solid coders and eager to work at the intersection of software engineering, applied ML, and enterprise AI platforms.
Key Responsibilities
- Design, develop, test, and maintain productionâquality software supporting AI/ML solutions.
- Implement and support AIâenabled features using modern ML/LLM techniques, APIs, and services.
- Contribute to Copilotâenabled workflows (e.g., Teams, Outlook, Word, Excel) where applicable, including prompt refinement and agentâbased task automation.
- Build and maintain backend services, APIs, and integrations that support AI/ML use cases.
- Apply GenAI/LLM patterns: Build RAG pipelines, prompt management, evaluation harnesses, and safety mitigations. Integrate embeddings, vector stores, and caching strategies for latency/cost targets.
- Participate in model integration and lifecycle activities: experimentation, evaluation, deployment, monitoring, and iteration. Instrument solutions for monitoring (quality, drift, bias, performance, cost).
- Write unit tests, integration tests, and documentation to ensure reliability, security, and maintainability.
- Collaborate closely with product managers, designers, and senior engineers to translate requirements into working solutions.
- Follow enterprise standards for security, data handling, and governance when working with AI systems.
Required Qualifications
- Bachelorâs degree in Computer Science, Engineering, or equivalent practical experience.
- Strong programming background, especially in Python and/or at least one of Java, C#, or similar.
- Solid understanding of software engineering fundamentals: data structures, APIs, version control, testing, and CI/CD.
- Working knowledge of AI/ML fundamentals (machine learning concepts, LLMs, embeddings, evaluation basics) and tooling (scikit-learn, XGBoost, PyTorch/TensorFlow, Pandas/Spark).
- Experience building APIs/services (REST/gRPC), containerization (Docker), and orchestration (Kubernetes).
- Exposure to MLOps practices: CI/CD, MLflow/Kubeflow, model registries, automated testing.
Preferred Qualifications
- Experience using or integrating Microsoft 365 Copilot, Copilot Agents, or similar enterprise GenAI tools.
- Exposure to prompt engineering, agentâbased workflows, or AIâassisted productivity tools.
- Familiarity with cloud platforms (Azure preferred), Power Platform, or Microsoft Graph integrations.
- Experience supporting AI features in production systems.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the worldâs 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 applicantsâ and employeesâ religious practices and beliefs, as well as mental health or physical disability needs. Visit our
FAQs
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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 weâre setting our businesses, clients, customers and employees up for success.
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