JPMorgan Chase & Co., Bengaluru, Karnataka, India
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
At JPMorgan Chase, we are reimagining software engineering itself – by building an AI-Native SDLC Agent Fabric, a next generated ecosystem of autonomous, collaborative agents that transform every phase of the software delivery lifecycle. We are forming a foundational engineering team to architect, design, and build this intelligent SDLC framework levering multi-agent systems, AI toolchains, LLM Orchestration (A2A, MCP) and innovative automation solutions. If you’re passionate about shaping the future of engineering—not just building better tools, but developing a dynamic, self-optimizing ecosystem—this is the place for you.
stakeholders to define requirements and deliver robust solutions.
years applied experience.
Databases for building RAG based AI agent solutions integrating with multi-agent orchestration frameworks and deploying end-to-end pipelines on AWS (EKS, Lambda, S3, Terraform)
frameworks like Langchain/LangGraph, Autogen, MCPs, A2A.
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
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.
automated deployment, and ML pipelines.
and team members.
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.
toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
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checked 5 days agoSource: the company job board. We last checked this job 13 h ago. We first saw it 13 h ago. A job on a job board does not always mean that the team interviews people now.