2 days ago
Responsibilities
- Design and communicate target-state architectures, platform patterns, business cases, process contexts, sequence diagrams, and architecture decision records.
- Lead the architecture and roadmap for AI and agentic capabilities across the software development lifecycle.
- Define governed foundations for model access, agent orchestration, retrieval, identity, permissions, guardrails, audit trails, evaluation, observability, and cost management.
- Drive adoption of cloud-native, integration, front-end, middle-tier, back-end, and AI-first engineering patterns across platform teams.
- Evaluate vendors and platform capabilities for strategic fit, integration, and enterprise adoption.
- Partner with platform owners, product teams, and stakeholders to influence designs before execution and delivery.
- Validate designs through hands-on proofs of concept and reference implementations and contribute to architecture governance.
- Articulate the business value, options, trade-offs, and modernization roadmap for enterprise platform investments.
Requirements
- 10+ years of solution architecture and senior software engineering experience with significant hands-on product delivery.
- Expert knowledge of software and internet architecture, modern front-end and back-end stacks, API management, identity and access management, cloud-native and on-premises infrastructure, networking, and application delivery.
- Deep expertise in AI-enabled engineering capabilities, AI coding assistants and agents, retrieval-augmented generation, tool use, multi-agent orchestration, context engineering, and model and agent evaluation.
- Experience applying AI capabilities to real software delivery workflows and understanding risks such as sensitive data exposure, prompt injection, insecure generated code, licensing issues, and excessive agent privileges.
- Track record delivering platform capabilities for consumer-facing products, particularly API- and event-driven systems.
- Experience with modern software delivery practices including AI-enabled development, DevSecOps, CI/CD, GitOps, and platform-as-a-product.
- Strong understanding of information security and data protection in regulated environments.
- Preferred experience in financial services or other regulated industries, responsible AI, model risk management, AI regulation, DORA metrics, legacy modernization, and mainframe or monolithic applications.
- Preferred hands-on experience with multiple model providers, agent frameworks, and major cloud AI services.
- Exceptional communication, collaboration, influence, judgment, and stakeholder-management skills.
- Undergraduate degree in Engineering, Computer Science, or another technical field is preferred.
Benefits
- Full-time position with experienced hiring classification.
- For US positions, a conditional employment offer requires a drug test.
- FIS is an equal opportunity employer and provides reasonable accommodation review for qualifying requests.
Tech Stack
Categories
About FIS
FIS builds financial technology for banks, merchants, and capital-markets firms, including core banking platforms, payment processing, fraud/risk tools, and investment/treasury systems. It sells enterprise software, cloud services, and outsourced processing via long-term contracts and transaction-based fees. Founded in 1968 and headquartered in Jacksonville, Florida, FIS is a Fortune 500 public company trading on the NYSE (FIS) with customers worldwide.