Principal Software Engineer — Cloud Agentic AI Platform
JPMorgan Chase2 months ago
Dublin, IrelandStaff+
Responsibilities
- Lead the design and delivery of scalable, resilient, secure cloud-native applications and platforms across public clouds.
- Define reference architectures, well-architected patterns, platform standards, architecture controls, guardrails, and reusable capabilities.
- Establish standards for generative and agentic AI features supporting multi-cloud management and intelligent automation.
- Architect microservices, event-driven systems, distributed applications, REST/gRPC APIs, and internal developer platforms.
- Lead adoption of agentic AI-enabled engineering workflows with human-in-the-loop validation, auditability, traceability, secure data handling, and governance.
- Apply AI-assisted development, prompt engineering, RAG, LLM orchestration, and agentic runtime tooling to improve engineering productivity.
- Drive monitoring, logging, tracing, SRE practices, operational excellence, resiliency, and cost optimization.
- Partner with architects, platform teams, engineering, product, risk, security, and business stakeholders to translate strategy into roadmaps.
- Lead teams, mentor and coach engineers, and provide credible technical authority and architecture direction.
Requirements
- Deep hands-on expertise in public-cloud application architecture and platform engineering, with AWS, Azure, or GCP.
- Experience with cloud compute, storage, networking, serverless, containers, API Gateway, messaging, data, and Well-Architected Framework practices.
- Experience building internal developer platforms, self-service capabilities, reusable patterns, distributed systems, event-driven architectures, REST/gRPC APIs, and resilient cloud applications.
- Experience designing and leading adoption of agentic AI-enabled development practices across teams, including validation, auditability, traceability, and sensitive-data protection.
- Strong understanding of responsible AI, security, resiliency, data sensitivity, risk-based governance, and safe scaling patterns.
- Proficiency in Python, Java, or Go and modern cloud-native frameworks.
- Experience embedding architecture guidance, governance controls, and policy-as-code into engineering workflows.
- Experience driving observability, operational excellence, and cost optimization.
- Experience leading teams and setting architecture direction as a technical authority.
- Experience applying generative and agentic AI through prompt engineering, RAG, LLM orchestration, and AI-assisted developer tooling.
- Advanced proficiency with AI coding assistants such as Claude Code and agentic runtime environments such as Agent Runtime, AgentCore, or Agent Service.
- Preferred experience across at least two major public-cloud providers and with distributed systems at scale.
- Preferred experience implementing cloud security guardrails, protecting enterprise data privacy, and working in financial services or other highly regulated environments.
- Familiarity with Spec-Drive, Test-Driven Development, open agentic frameworks, and custom MCP servers or tools.
Benefits
- Career growth opportunities, hands-on technical leadership, and collaboration with talented teams.
- Inclusive, diverse, and equal-opportunity workplace with reasonable accommodations for religious practices, mental health, and physical or disability-related needs.
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.