Applied AI ML Director for CIB AI4Tech

Jersey, NJ - USA

Monthly Salary: $ 223250 - 325000

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Description

Join our innovative team and shape the future of software development with AI-driven solutions.

As an Applied AI/GenAI ML Director within the Ai4Tech Team at JPMorgan Chase you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing creating and delivering trusted top-tier technology products in a secure stable and scalable manner. Your deep expertise will be leveraged to consistently challenge the norm innovate for business impact and spearhead the strategic development of new and existing products and technology portfolios. You will stay abreast of industry trends best practices and technological advancements. Your role will concentrate on establishing and nurturing common capabilities best practices and reusable frameworks thereby laying the groundwork for AI excellence that propels innovation and consistency across business functions.

Job responsibilities

Establish and promote common AI assets to drive efficiency and scale across CIB use cases.
Design and deliver GenAI solutions using advanced large language models (LLMs) and related techniques.
Define robust evaluation frameworks and feedback loops for agentic systems and GenAI applications to ensure safety accuracy and continuous improvement.
Advise on strategy and the development of multiple products applications and technologies aligning AI roadmaps with business outcomes.
Serve as the lead advisor on technical feasibility and business value for applied AI/ML use cases.
Liaise with firmwide AI/ML stakeholders to coordinate standards governance and adoption.
Translate complex technical issues trends and approaches for senior leadership to enable strategic well-informed decisions on technology advancements.
Influence across business product and technology teams and successfully manage senior stakeholder relationships.
Champion the firms culture of diversity opportunity inclusion and respect.
Ensure compliance with firm policies and applicable regulations integrating model governance risk controls and monitoring into AI lifecycle practices.

Required qualifications capabilities and skills

MS with 10 years of experience or PhD with 5 years of experience in Computer Science Machine Learning or a related field.
Formal training or certification in machine learning; with 5 years of applied experience in one or more programming languages (e.g. Python Java C/C).
Strong understanding of AI implementation in software development including modernization of legacy codebases.
Deep expertise in LLM techniques (e.g. agents planning reasoning) and related methods.
Familiarity with agentic workflows and frameworks (e.g. LangChain LangGraph); verify any thirdparty tools are approved for use at JPMorgan Chase before implementation.
Experience with vector databases scalable retrieval systems and evaluation metrics for LLMs.
Hands-on experience in code and architecture collaborating closely with engineering to productionize experimental results.
Strong proficiency with deep learning frameworks such as PyTorch or TensorFlow.
Solid understanding of ML techniques especially in Natural Language Processing (NLP) and LLMs.
Experience in leading technologies to anticipate manage and resolve complex technical challenges within your domain.

Preferred qualifications capabilities and skills

Understanding of Embedding based Search/Ranking Recommender systems Graph techniques and other advanced methodologies.
usingAdvanced knowledge in Reinforcement Learning or Meta Learning.
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker EKS etc.
Background in model governance bias mitigation and responsible AI practices with track record of delivering AI platforms or shared services used across multiple lines of business.

Required Experience:

Director

DescriptionJoin our innovative team and shape the future of software development with AI-driven solutions.As an Applied AI/GenAI ML Director within the Ai4Tech Team at JPMorgan Chase you will utilize your profound engineering knowledge to collaborate with agile teams in enhancing creating and delive...

Description

Join our innovative team and shape the future of software development with AI-driven solutions.

Job responsibilities

Establish and promote common AI assets to drive efficiency and scale across CIB use cases.
Design and deliver GenAI solutions using advanced large language models (LLMs) and related techniques.
Define robust evaluation frameworks and feedback loops for agentic systems and GenAI applications to ensure safety accuracy and continuous improvement.
Advise on strategy and the development of multiple products applications and technologies aligning AI roadmaps with business outcomes.
Serve as the lead advisor on technical feasibility and business value for applied AI/ML use cases.
Liaise with firmwide AI/ML stakeholders to coordinate standards governance and adoption.
Translate complex technical issues trends and approaches for senior leadership to enable strategic well-informed decisions on technology advancements.
Influence across business product and technology teams and successfully manage senior stakeholder relationships.
Champion the firms culture of diversity opportunity inclusion and respect.
Ensure compliance with firm policies and applicable regulations integrating model governance risk controls and monitoring into AI lifecycle practices.

Required qualifications capabilities and skills

MS with 10 years of experience or PhD with 5 years of experience in Computer Science Machine Learning or a related field.
Formal training or certification in machine learning; with 5 years of applied experience in one or more programming languages (e.g. Python Java C/C).
Strong understanding of AI implementation in software development including modernization of legacy codebases.
Deep expertise in LLM techniques (e.g. agents planning reasoning) and related methods.
Familiarity with agentic workflows and frameworks (e.g. LangChain LangGraph); verify any thirdparty tools are approved for use at JPMorgan Chase before implementation.
Experience with vector databases scalable retrieval systems and evaluation metrics for LLMs.
Hands-on experience in code and architecture collaborating closely with engineering to productionize experimental results.
Strong proficiency with deep learning frameworks such as PyTorch or TensorFlow.
Solid understanding of ML techniques especially in Natural Language Processing (NLP) and LLMs.
Experience in leading technologies to anticipate manage and resolve complex technical challenges within your domain.

Preferred qualifications capabilities and skills

Understanding of Embedding based Search/Ranking Recommender systems Graph techniques and other advanced methodologies.
usingAdvanced knowledge in Reinforcement Learning or Meta Learning.
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker EKS etc.
Background in model governance bias mitigation and responsible AI practices with track record of delivering AI platforms or shared services used across multiple lines of business.

Required Experience:

Director

Key Skills

Fundraising
Management Experience
Coaching
Analysis Skills
Strategic Planning
Team Management
Budgeting
Leadership Experience
Mentoring
Public Speaking
negotiation
Supervising Experience

Apply Now

About Company

JPMorganChase

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 ov ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click