Lead Architect - Cloud Financial Management, Reporting and AI
About The Position
As a Lead Architect at JPMorganChase within Platform Operations and Infrastructure Platforms, you will own the product and architecture strategy for scheduled reporting and an agent-based assistant that help teams understand cloud cost, usage, and optimization opportunities. The role combines hands-on architecture with end-to-end product ownership, bringing together cloud financial data, large language models, and enterprise reporting. You will translate cloud financial management needs into secure, scalable solutions that provide proactive insights and conversational experiences. You will guide engineers across multiple squads, partner with finance, FinOps, and cloud stakeholders to prioritize roadmaps and delivery, and set technical direction for how CloudVision delivers insight. You will also represent the product family in architecture and responsible AI forums and ensure outcomes align with security, data, and risk expectations.
Requirements
- Formal training or certification in architecture concepts and at least 5 years of applied experience.
- Demonstrated experience delivering cloud-native architecture and engineering outcomes, including design, development, testing, and operational stability.
- Advanced proficiency in Python and at least one additional programming language used for production services.
- Hands-on experience building large language model-powered applications, such as retrieval-augmented generation or text-to-SQL solutions, with systematic quality evaluation.
- Experience designing scheduling, workflow, or notification systems with reliable delivery, retries, and end-to-end traceability.
- Strong data modeling skills and experience working with large-scale financial or operational datasets.
- Practical knowledge of public cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform across compute, storage, database, and analytics services.
- Proven ability to lead through influence, align cross-functional stakeholders, and solve complex problems with clear ownership and judgment.
- Working knowledge of responsible AI practices, including access controls, data entitlements, and operating safely in regulated environments.
Nice To Haves
- Experience building or integrating Model Context Protocol tooling into agent workflows.
- Experience with AI evaluation methods such as golden datasets, prompt regression testing, and judge-based review approaches.
- Experience measuring and managing model usage and cost in production environments.
- Experience with Infrastructure as Code tools such as Terraform.
- Experience with large-scale data processing, data pipelines, and cloud data warehouse patterns.
- Proficiency in Java and familiarity with Spring Boot and/or React for modern service and user interface development.
Responsibilities
- Own the product roadmap for scheduled reporting capabilities, including requirements, prioritization, and measurable success outcomes.
- Lead product direction for an agent-based assistant that helps teams interpret cloud spend drivers and actions.
- Design end-to-end architecture for scheduling, templating, subscriptions, audience management, delivery channels, and auditability.
- Architect secure generative AI narratives and workflows that explain changes, highlight impact, and guide next-best actions.
- Define evaluation and governance approaches for AI features, including accuracy testing, controls, and model-usage cost awareness.
- Provide hands-on technical leadership across multiple squads, guiding design decisions, reviewing implementations, and improving reliability.
- Partner with finance and cloud financial management leaders to understand needs, communicate progress, and drive adoption through value delivery.
- Represent the product family in architecture and responsible AI forums, ensuring solutions align with security, data, and risk expectations.
- Evaluate emerging agent tooling and workflow orchestration approaches to improve scalability, maintainability, and time-to-value.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
