Principal Software Engineer — AI & Data Engineering
JPMorgan Chase & Co. (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 60–90 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, operate, and continuously improve production-grade AI-native services, agent systems, APIs, automation services, and cloud-native components.
- Architect and govern agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational resilience at scale, ensuring security and compliance guardrails.
- Own observability, testing, telemetry, incident response, performance tuning, and cost optimization of AI and data engineering workloads.
Minimum Requirements
- 7+ years of applied experience with formal training or certification in software engineering.
- Hands-on mastery in agentic development using Google ADK, MCP, or equivalent enterprise-grade agent frameworks.
- Proficiency in Python and practical experience with AI/ML engineering frameworks such as LangChain, LlamaIndex, PyTorch, or Hugging Face.
- Experience personally architecting, deploying, and maintaining production AI systems with secure tool exposure, validation, and risk governance.
Ideal Candidate Profile
- Experienced in leading adoption of agentic AI-enabled development practices and setting enterprise standards for validation, auditability, and secure data handling.
- Strong domain expertise in responsible AI engineering practices, including security, resiliency, data sensitivity, and risk-based governance at scale.
- Operationally skilled in AI production monitoring, prompt engineering, multi-agent system design, and cross-team stakeholder collaboration for delivering reliable enterprise AI solutions.