Applied AI Engineer-Vice President

Be among the first 25 applicants. As a Senior Lead Applied AI Engineer at JPMorgan Chase within the Consumer & Community Banking Machine Learning team, you are an integral part of an agile team that enhances, builds, and delivers trusted market‑leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem‑solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Provide technical guidance and direction to support the business, technical teams, contractors, and vendors.
• Develop secure and high‑quality production code, and review and debug code written by others.
• Drive decisions that influence product design, application functionality, and technical operations and processes.
• Act as a function‑wide subject matter expert in one or more areas of focus.
• Contribute to the engineering community as an advocate of firm‑wide frameworks, tools, and practices of the Software Development Life Cycle.
• Influence peers and project decision‑makers to consider the use and application of leading‑edge technologies.
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future‑proof architecture.
• Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions.
• Architect and oversee the development of next‑generation machine learning models and systems leveraging cutting‑edge technologies.
• Ensure the platform supports complex use cases, including real‑time predictions, big data processing, and advanced analytics.
• Promote software and model quality, integrity, and security across the organization.

• Formal training or certification on software engineering concepts and 5+ years applied AI experience.
• Proven track record of building and scaling software and/or machine learning platforms in high‑growth or enterprise environments.
• 10+ years of hands‑on experience and expertise in software development frameworks and tools such as Java, Python, and JavaScript.
• Deep understanding of distributed systems, cloud‑native architectures, and modern machine learning technologies.
• Experience in cloud platforms such as AWS, GCP, or Azure.
• Knowledgeable in machine learning frameworks, ML Ops tools, and practices.
• Strong proficiency in programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, Cloud Formation).
• Proficient in building AI agents (e.g., Lang Chain, Lang Graph, Auto Gen), integration of tools (e.g., API), and RAG based solutions (e.g., open search).
• Hands‑on experience with software development pipeline and orchestration tools (e.g., Jenkins, Git Lab CI/CD).
• Exceptional ability to communicate complex technical concepts to both technical and non‑technical audiences.
• Hands‑on experience with big data, pipeline, orchestration tools, and real‑time processing frameworks.

• Certified as AWS Solutions Architect, Certified Developer, or similar certification.

We offer a competitive total rewards package including a 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, including 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.

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.

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