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 an Architect III at JPMorganChase within the Commercial & Investment Bank, Market technologies team, you are an integral part of a team that delivers high-quality architecture solutions across software applications and platform products, leveraging AWS/cloud and enterprise-authorized AI. You drive significant business impact and help shape target-state architecture across multiple domains, including cloud, data, and AI-enabled patterns. You will collaborate with other architects and engineering teams to design and deliver secure, resilient, and scalable solutions that support front-office trading, sales, research, and market-operations workflows. Job Responsibilities • Executes architecture solutions and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down complex problems. • Applies enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and design (e.g., option evaluation, trade-offs, and documentation), validating outputs and handling data according to sensitivity and security requirements. • Leverage strong AWS/cloud expertise to apply cloud-native principles, assess solution designs, and provide architecture recommendations that balance core architecture standards with pragmatic trade-offs. • Produces architecture and design artifacts for complex applications, evaluates design recommendations, and is accountable for ensuring that design constraints are met by software code development. • Creates secure and high-quality production code and maintains algorithms and services that run synchronously with appropriate systems. • Represents a product or platform in architectural governance bodies and contributes to architecture decisions, standards alignment, and risk reviews. • Leads the product team in evaluating new technologies using existing standards and frameworks, and develops recommendations to influence progress to modern architecture. • Drives reuse-first adoption of enterprise-authorized AI-enabled patterns and guardrails within the work environment across the product’s SDLC and engineering governance (e.g., design reviews, CI/CD quality gates, testing, and operational readiness), ensuring traceability and human-in-the-loop validation. • Contributes to architecture communities of practice and events that explore new and emerging technologies relevant to Market Equities platforms (e.g., low-latency systems, streaming, cloud patterns, data/AI architecture, and resilience engineering). Required Qualifications, Capabilities, and Skills • Formal training or certification on architecture concepts and 3+ years applied experience • Strong knowledge of one or more software applications and architecture development within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, distributed systems, etc.) • Working knowledge of applying enterprise-authorized AI capabilities within the work environment to software engineering workflows (e.g., requirements interpretation, design support, code/test assistance) with strong validation habits and awareness of data sensitivity. • Ability to evaluate and integrate AI-enabled features and architectural patterns (e.g., model/service integration, retrieval patterns, monitoring considerations) while maintaining security, resiliency, and auditability expectations. • Ability to evaluate current technologies and recommend ways to optimize architecture, scalability, reliability, latency, and cost. • Hands-on practical experience in system design, application development, testing, and operational stability. • Proficient in coding in one or more languages. • Experience developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. • Overall knowledge of the Software Development Life Cycle, including agile practices such as CI/CD, application resiliency, and security. Preferred Qualifications, Capabilities, and Skills • Experience building and deploying agentic AI applications (e.g., multi-step orchestration, tool use, guardrails, evaluation/monitoring). • Strong understanding of hybrid and multi-cloud operational models, including resilience patterns, identity and access management, secrets management, networking, and secure operations. • Familiarity with financial-services regulatory and control frameworks, with emphasis on operational resilience, auditability, and evidence-based controls. • Experience establishing architecture standards, governance practices, and reusable enterprise patterns (reference architectures, blueprints, patterns, golden paths). • Experience with formal architecture governance frameworks (e.g., TOGAF or equivalent), including architecture review processes and decision records. Originally posted on Himalayas