Lead Software Engineer - Frontend - AI Developer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within US Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities:


* Develop AI models and algorithms to address complex business challenges.


* Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.


* Conduct research to stay abreast of advancements in AI, machine learning, and related technologies.


* Deploy, manage, and optimize AI models on AWS cloud infrastructure.


* Engineer the control plane for provisioning, automation, scaling, integrations, and self-service, making it accessible to thousands of applications.


* Create intuitive user interfaces for AI-driven products using React.Utilize Java for robust and scalable backend development.


* Mentor and guide junior engineers, fostering a culture of continuous improvement and innovation.


* Work closely with product managers and stakeholders to translate requirements into technical solutions.

Required Qualifications, Capabilities, and Skills:


* Formal training or certification in software engineering concepts with 5+ years of applied experience.


* Proven experience as an AI Engineer or similar role, with a strong portfolio of AI projects.


* Proficiency in React for front-end development and Java or python for backend development.


* Experience with AWS services such as EC2, S3, Lambda.

Infrastructure-as-code experience, particularly with Terraform.


* Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).


* Familiarity with data processing and analysis tools (e.g., Pandas, NumPy).


* Excellent problem-solving skills and the ability to work independently and collaboratively.


* Strong communication skills to convey technical concepts to non-technical stakeholders.


* Formal training or certification in Python, with advanced proficiency.


* Practical experience in architecting and developing applications on major public cloud providers


* Industry cloud certifications are a bonus.


* Knowledge of industry-wide technology strategies and best practices.

Preferred qualifications, capabilities, and skills:


* Prior financial or banking experience is a plus.


* Experience SRE, Security, Observability & Performance as part of all owned applications/deliverables is a plus..


* Certifications and Methodologies: Formal training in Python and experience with Agile methodologies ar...