We 're seeking top talents for our AI engineering team to build and scale AI/ML solutions using LLMs, cloud platforms, and modern agentic frameworks for enterprise innovation. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. Come join us in reshaping the future!
As a Applied AI ML Senior Associate within Enterprise Technology team, you will be responsible to design, build and productionize ML and LLM powered systems that operate at scale across high-volume streams. You will work at the intersection of modeling, NLP and transformer architectures. This is a hands-on senior role requiring deep expertise in applied NLP, LLM integration, scalable ML systems and production grade engineering discipline.
This role offers a chance to collaborate with product managers, architects, data science and operational teams, while also engaging in software engineering communities to explore new and emerging technologies.
Job responsibilities
- Design, develop, and troubleshoot scalable software solutions, applying creative and innovative approaches to solve complex technical challenges
- Write secure, high-quality, production-ready code and maintain algorithms that integrate seamlessly with enterprise systems
- Develop architecture and design artifacts for complex applications, ensuring adherence to design constraints and best practices throughout the SDLC
- Build and deploy AI/ML solutions and agentic systems for LLM platforms using modern cloud architectures (Azure, AWS)
- Bake in augmentation mechanisms leveraging legacy regular expressions for filtering and optimization
- Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
- Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
- Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
Required qualifications, capabilities, and skills
- Graduate or Post Graduate degree in Computer Science or equivalent experience with 8+ years of experience in build innovative AI/ML solutions
- Strong foundation in Information Retrieval, Natural Language Processing
- Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers
- Operational experience in supporting an enterprise grade ML application in production
- Experience with any of the MLOps frameworks such MLflow, Kubeflow
- Implement cutting-edge GenAI services leveraging Azure OpenAI models and AWS Bedrock
- Proficiency working with LLMs, creating agents with LangGraph
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages. Experience with containerization.
- Strong understanding of the Software Development Life Cycle
- Proficiency in Python (FastAPI), Microservices, APIs, elastic compute, nosql databases, messaging queues
- Strong knowledge of CI/CD pipelines, application resiliency, and security best practices
Preferred qualifications, capabilities, and skills
- Knowledge of Databricks is nice to have
- Familiarity with cloud platforms (Azure/AWS) and modern databases (NoSQL)
- Experience building, debugging, and maintaining large-scale enterprise applications
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
