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Tier-1 brand, metro location, and a mid-level popular AI engineering role create high competition.
Specialized LLM/agent and enterprise AI governance increase domain specificity, though skills are moderately transferable.
Explicit 5+ years plus many mandatory AI, cloud, and infra skills enforce high shortlisting strictness.
Lead design and implementation of LLM-driven AI agent services and orchestration layers within JPMorgan Chase's AI-Native SDLC Agent Fabric.
Integrate AI agents with software development toolchains (Jira, Github, Terraform) enhancing code generation, testing, and observability on AWS.
Provide technical leadership and enforce governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational metrics across teams.
5+ years of applied software engineering experience with formal training or certification.
Strong hands-on experience in Python, Pydantic, FastAPI, LangGraph, AI agent frameworks (Langchain, Autogen), and AWS deployment (EKS, Lambda, Terraform).
Experience integrating LLMs, prompt engineering, and multi-agent orchestration frameworks.
Solid understanding of CI/CD, Terraform, Kubernetes, Docker, APIs, and observability/monitoring platforms.
Experienced leader skilled in integrating AI technologies within enterprise-grade software development environments.
Hands-on expertise in building and orchestrating scalable AI agent solutions using multi-agent frameworks and cloud-native tools (AWS preferred).
Capable of enforcing responsible AI use policies, mentoring senior engineers on secure and compliant AI integration, and driving adoption of AI-assisted software engineering workflows.