Senior Lead Architect

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.

As a Senior Lead Architect at JPMorganChase within the Global Technology Enterprise Architecture team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains.

Job responsibilities

• Evaluate large platforms and critical infrastructure by identifying architecture gaps, assessing controls, and ensuring alignment with target-state architecture and firmwide standards; translate findings into actionable roadmaps with engineering teams
• Conduct architecture risk assessments across portfolios, leveraging hands-on knowledge of build, test, release, and run to pinpoint vulnerabilities, technical debt, operability gaps, resiliency weaknesses, and areas requiring remediation or investment
  Identify duplication, redundancy, and rationalization opportunities across the technology landscape; quantify impact and escalate recommendations to leadership to drive consolidation and simplification
• Participate in the evaluation of emerging technologies and architectural patterns (including AI/ML platforms, cloud-native services, and data architectures) to recommend adoption, integration, or avoidance based on fit, scalability, resilience, and risk
• Facilitate and contribute to design reviews and architecture forums with cross-functional teams to promote architectural excellence and knowledge sharing
• Coordinate or contribute to threat modeling activities for higher-risk applications and platforms, integrating findings into remediation plans
• Drive the development and use of AI copilots and agentic workflows to scale architecture review processes, automate evidence collection, and improve documentation quality and consistency.
• Mentor and train architects and engineers on architecture best practices, design patterns, secure-by-design principles, operational excellence, and effective documentation.
   

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience     
• Deep understanding of large-scale, distributed platforms including microservices, event-driven and data streaming systems, data pipelines, APIs, and cloud-native architectures across public and private cloud.
• Experience evaluating and designing security architectures and control procedures; working knowledge of threat modeling, identity and access patterns, data protection, and compliance frameworks in complex environments
• Proficient in architecture documentation practices: HLDs, C4 diagrams, ADRs, sequence diagrams, and reference architectures; ability to keep artifacts current and actionable
• Hands-on experience with observability and SRE practices (SLIs/SLOs, error budgets, logging, metrics, tracing, incident management, capacity planning) to inform architecture decisions
• Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Strong engineering fundamentals and fluency with modern stacks and practices (e.g., Java/.NET/Node/Python, containers/Kubernetes, IaC, messaging, RDBMS/NoSQL, caching, API gateways, service mesh).
• End-to-end SDLC expertise with proven delivery of system design, application development, automated testing, CI/CD, observability, and production operations/support for complex platforms and applications

• Strong analytical skills to identify duplication and rationalization opportunities; experience with portfolio assessments, capability mapping, and target-state roadmaps

   

• Hands-on experience building, integrating, or operating AI copilots/assistants for developer or architecture workflows (e.g., agentic systems that orchestrate tools to perform architecture evidence gathering, code and config analysis, control validation, documentation generation, or review automation)
• Familiarity with LLMs and retrieval-augmented systems, prompt engineering, tooling orchestration, and guardrails for secure enterprise use; ability to define evaluation criteria and success metrics for AI-assisted review processes