Business Modeling - Applied AI Modeling Executive Director

Aumni; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

TwinThread is seeking an Applied AI Modeling Executive Director in New York to architect cutting-edge AI/ML solutions for business decisions. The ideal candidate should hold an advanced degree and possess over 10 years of experience in AI/ML with proven leadership capabilities. Responsibilities include leading a high-performing team, integrating advanced architectures, and ensuring compliance with governance standards. The role offers a competitive rewards package including health benefits and opportunities for professional development.

Qualifications

• Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Economics or similar.
• 10+ years in designing, developing, and deploying advanced AI/ML models, including 5+ years in a leadership role.
• Expertise in deep learning frameworks and large-scale model training is essential.

Responsibilities

• Design and oversee integration of advanced machine learning architectures.
• Translate business needs into technical solutions while managing the full AI/ML lifecycle.
• Lead AI talent in research and adoption of cutting-edge techniques.

Skills

Advanced degree

10+ years in AI/ML

Deep learning frameworks

Python programming

Leading technical teams

Education

PhD or MS in relevant fields

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Come join us in reshaping the future of banking with AI!

As an Applied AI Modeling Executive Director, within our AI Modeling Data and Analytics organization, you will architect the development of next-generation AI ML solutions that power JPMorgan Chase’s business decisions, with a focus on credit card and lead a team of experts in designing, deploying, and scaling robust AI/ML systems, leveraging state-of-the-art architectures, as well as deep learning and advanced modeling techniques to solve complex business challenges.

Job Responsibilities

• Design and oversee the integration of advanced machine learning and deep learning architectures…and agents. Into production environments in partnership with Product, Risk, Finance, Operations, Technology, and Compliance
• Partner with the Business Stakeholders and break down silos to translate business needs into technical solutions while managing the full AI/ML lifecycle
• Lead emerging AI talent in research and adoption of cutting‐edge AI techniques, including deep neural networks, reinforcement learning, causal inference, and foundational models, to address high‑impact business problems
• Establish best practices for model development, MLOps, and cloud‑native deployment, ensuring compliance with governance and regulatory expectations and promoting skill mastery and continuous learning on the team
• Build and lead a high‑performing team of AI/ML scientists and engineers and provide individualized development plans, structured rotations, and visibility to senior stakeholders
• Oversee rigorous validation, documentation, and monitoring of models, proactively identifying risks and ensuring adherence to internal and external standards while coaching the team to carry these standards into future leadership roles

Required Qualifications, Capabilities, and Skills

• Advanced degree (PhD or MS) in Computer Science, Machine Learning, Mathematics, Statistics, Engineering, Economics or other related fields
• 10+ years of hands‑on experience in designing, developing, and deploying advanced AI/ML models, with at least 5 years in a technical leadership or architecture role
• Documented expertise in deep learning frameworks (TensorFlow, PyTorch) and experience with large‑scale model training, distributed computing, and MLOps
• Strong programming skills in Python and familiarity with modern data science tools (e.g., Jupyter, NumPy, Pandas, Scikit‑Learn)
• Proven track record of architecting and deploying AI/ML solutions in cloud environments (AWS, Azure, or GCP), including experience with Databricks, Snowflake, or similar platforms
• Exceptional communication skills with the ability to explain complex technical concepts to both technical and non‑technical audiences
• Demonstrated leadership in building and mentoring high‑performing technical teams

Preferred Qualifications, Capabilities, and Skills

• Transformer architectures, reinforcement learning, causal inference, or real‑time inference
• Background in financial services, consumer finance, or regulated industries
• AWS Certified Machine Learning, Microsoft Certified: Azure AI Engineer, or similar
• Experience with model governance, regulatory compliance, and risk management in AI/ML
• Contributions to open‑source AI/ML projects or publications in top‑tier conferences/journals

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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 FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans