Lead AI Enablement Architect — Cloud & Developer Tools

Next Frontier Capital; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Architect for the CTO AI4Tech Scaling team to design and deliver high‑quality architecture solutions across modern cloud-based platforms. You will lead enterprise AI‑assisted development tooling adoption, implement secure coding practices, and guide multi‑function teams on architecture standards.

The role emphasizes cloud infrastructure with Terraform and AWS, production-grade code, and governance over AI deployments, with a focus on reliability, security, and

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Working knowledge and experience in backend development either Python and/or Java.
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Understands LLM-based developer tools in context management, RAG patterns, and responsible AI guardrails
• Experience with CI/CD pipelines (Jenkins, Spinnaker) and automation frameworks
• Familiar with containerization (Docker, Kubernetes/EKS) and serverless architectures
• Active knowledge of agile methodologies, application resiliency, and security
• Practical cloud native experience and understanding of the software development lifecycle

Responsibilities

• Administer and scale GitHub Copilot and Claude Code platforms across the enterprise with user provisioning, policy enforcement, and usage analytics.
• Develop and maintain custom Copilot Skills and Agent configurations to encode domain-specific knowledge and team workflows.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve value of automation.
• Design and provision cloud infrastructure using Terraform and AWS services, ensuring reliability and compliance.
• Develop internal tooling, automation pipelines, and self-service portals to support AI developer tool adoption.
• Develop secure, high-quality production code, and review and debug code written by others.
• Build reporting dashboards and metrics pipelines to track AI tool usage, productivity impact, and cost optimization.
• Identify opportunities to automate remediation of recurring issues to improve operational stability.

Skills

Software engineering

System design

Backend development (Python/Java)

AI-assisted tooling

Responsible AI

LLM tools/context management

CI/CD pipelines

Containers/Docker/Kubernetes

Agile & security

Cloud native / SDLC

Tools

Jenkins

Spinnaker

Docker

Kubernetes/EKS

Job description

JPMorgan Chase is seeking a Lead Architect for the CTO AI4Tech Scaling team to design and deliver high‑quality architecture solutions across modern cloud-based platforms. You will lead enterprise AI‑assisted development tooling adoption, implement secure coding practices, and guide multi‑function teams on architecture standards.

The role emphasizes cloud infrastructure with Terraform and AWS, production-grade code, and governance over AI deployments, with a focus on reliability, security, and