Applied AI & Context Engineer for Production ML & Semantic

Testing Site - JPMC; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

Testing Site - JPMC is seeking an Applied AI and Machine Learning Lead to design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value. You will work across Corporate Technology to shape problem statements, define success metrics, and deliver production-ready models.

You will mentor engineers and data scientists, establish enterprise semantic modeling standards, and drive unified semantic layers to improve trust and consistency across analytics

Qualifications

• Master’s degree in a data science-related discipline with 8 years of industry experience, or PhD in a data science-related discipline.
• Experience in data analysis, transformation, and analytics using Python.
• Demonstrated ability to develop and maintain production-quality code.
• Experience with continuous integration and unit test development.
• Strong written and verbal communication skills for technical and business audiences.
• Demonstrated scientific thinking and structured problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Experience building and managing data pipelines and processing workflows.
• Track record of delivering actionable insights from data.
• Commitment to continuous learning and professional growth in AI and machine learning.
• Mentor engineers and data scientists and promote modern ML engineering practices.

Responsibilities

• Develop generative AI, agentic AI, and large language model solutions in Python from proof-of-concept through production deployment.
• Design context engineering approaches to improve model accuracy, latency, reliability, and overall performance.
• Lead enterprise semantic modeling strategy, including ontology standards, governance, and lifecycle management.
• Create scalable enterprise ontologies that model business entities, relationships, rules, and constraints in partnership with domain experts.
• Define semantic integration patterns across data pipelines, APIs, data contracts, and experience layers to resolve semantic conflicts.
• Build and govern a unified semantic layer that enables trusted analytics across BI, ML, and transactional systems.
• Enable intelligent workflows and AI agents using ontology-driven context, semantic reasoning, and orchestration methods.
• Build and maintain data pipelines and frameworks for model training, evaluation, optimization, and production operations.
• Implement responsible AI practices, model risk controls, and governance aligned to regulated environments.
• Communicate complex technical concepts clearly to technical and non-technical stakeholders, including senior leaders, to align outcomes to business objectives.
• Mentor engineers and data scientists and promote modern ML engineering best practices and continuous improvement.

Skills

Python

Data analysis

Production-quality code

CI/CD

Communication

Problem solving

Team collaboration

Mentoring

Learning

Education

Master’s degree in data science

Tools

CI/CD pipelines

Ontology management tools

Job description

Testing Site - JPMC is seeking an Applied AI and Machine Learning Lead to design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value. You will work across Corporate Technology to shape problem statements, define success metrics, and deliver production-ready models.

You will mentor engineers and data scientists, establish enterprise semantic modeling standards, and drive unified semantic layers to improve trust and consistency across analytics