Lead AI Platform Architect for Enterprise LLM Systems

JP Morgan Chase; Jersey City (NJ); Vor Ort; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

JPMorganChase seeks a Lead Software Engineer to drive architecture and hands-on delivery of scalable agentic AI platforms for enterprise workflows. You will design production-grade AI systems, integrate tools, and ensure secure, compliant operations within a large-scale environment.

You will mentor engineers, shape the engineering culture, and push for measurable improvements in reliability, latency, and cost, while ensuring governance and safe AI practices across the platform lifecycle.

Qualifikationen

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Experience architecting and shipping production large language model applications, including agentic workflows and tool integration patterns.
• Strong software engineering fundamentals with ability to deliver cloud-native services using containers and serverless designs on AWS.
• Proficiency designing distributed systems with asynchronous workflows, durable messaging, and scalable data access patterns.
• Experience building retrieval-augmented generation solutions (embeddings, semantic search, grounding) and managing prompt lifecycle/versioning.
• Demonstrated ability to implement evaluation and monitoring approaches for model quality, reliability, and safe behavior over time.
• Strong API design skills, including secure integration patterns and reusable platform capability development.
• Proven technical leadership skills, including mentoring, driving architecture decisions, and influencing cross-functional stakeholders.
• Hands-on experience using enterprise-authored AI-assisted software development tools with demonstrated ability to evaluate, validate, and refine outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and security adherence.

Aufgaben

• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows.
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration.
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management.
• Engineer cloud-native AI services on AWS using containers and serverless patterns, event-driven messaging, and distributed data stores.
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls.
• Build well-governed APIs and integrations that connect AI capabilities to enterprise platforms, tools, and business processes.
• Establish evaluation, experimentation, regression testing, and observability frameworks to continuously improve quality and agent behavior.
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle.
• Mentor senior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity while validating outputs through peer review, automated testing, and secure coding standards.

Kenntnisse

LLM experience

AWS cloud-native

Distributed systems

API design

Leadership & mentoring

Secure coding

Jobbeschreibung

JPMorganChase seeks a Lead Software Engineer to drive architecture and hands-on delivery of scalable agentic AI platforms for enterprise workflows. You will design production-grade AI systems, integrate tools, and ensure secure, compliant operations within a large-scale environment.

You will mentor engineers, shape the engineering culture, and push for measurable improvements in reliability, latency, and cost, while ensuring governance and safe AI practices across the platform lifecycle.