Sr Lead Software Engineer - Agentic AI

JPMorgan Chase & Co.; Buenos Aires; Presencial; ARS 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. in Buenos Aires seeks a Senior Lead Software Engineer to join Employee Platforms. You will lead the design and deployment of AI-powered products, provide technical guidance, and drive secure, scalable production code.

You will shape engineering governance around AI practices and contribute as a technical expert across teams. The role emphasizes cloud-native development, independent problem solving, and advancing enterprise AI adoption with measurable security and performance

Formación

• Formal training or certification in software engineering with 7+ years of applied experience.
• Experience delivering system design, application development, testing and operations, including AI agents and LLM-based solutions.
• Proficiency in at least one programming language.
• Experience leading use of enterprise-approved AI development tools and setting team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, secure handling, resiliency and security.
• Ability to work independently with minimal oversight.
• Practical cloud-native experience.

Responsabilidades

• Lead design, development, and deployment of AI-powered products, including Agentic AI solutions and LLM-based applications.
• Provide technical guidance to business teams, contractors, and vendors.
• Develop secure, high-quality production code and review others' code.
• Drive governance of AI-assisted engineering practices to improve code quality, delivery speed, and operations.
• Apply SDLC tooling knowledge to improve value of automation at scale.
• Influence product design, functionality, and operations decisions.
• Act as subject matter expert across focus areas and contribute to engineering community.

Conocimientos

Software engineering fundamentals

System design & development

AI/Generative AI/Large Language Models

Programming languages

AI-assisted development tools usage

Secure coding & security practices

Cloud native experience

Independent problem solving

Educación

Software engineering training or certification

Descripción del empleo

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within Employee Platforms, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

• Leads the design, development, and deployment of AI-powered products, including Agentic AI solutions, intelligent automation platforms, and LLM-based applications.
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 7+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability, including the design, development, and deployment of AI agents, Generative AI, and LLM-based solutions.
• Advanced in one or more programming language(s)
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience