AI-Augmented Software Development Architect

Fiserv • Sunnyvale, CA

1d • Onsite

About The Position

We are seeking an AI-Augmented Software Development Architect to lead the integration of AI-powered development tools and practices across our software development lifecycle. This is not a role focused on building AI/ML models—rather, you will be the organizational expert on leveraging AI coding assistants, automation tools, and intelligent workflows to dramatically improve developer productivity, code quality, and delivery speed. A critical part of this role is driving adoption at scale across thousands of developers, requiring both technical expertise and the ability to inspire and mobilize engineering teams.

Requirements

• 10+ years of software development experience with deep expertise in Java and/or Python
• 3+ years in a software architecture or technical leadership role
• Hands-on experience with major LLM-powered coding assistants and the ability to rapidly evaluate emerging tools as the landscape evolves (i.e. Claude Code, Codex)
• Experience working with legacy codebases and leading modernization or migration initiatives
• Proven track record of driving large-scale developer adoption of new tools or practices
• Strong understanding of modern SDLC practices including CI/CD, DevOps, and agile methodologies
• Experience implementing tooling and processes at the enterprise level
• Exceptional communication and presentation skills with ability to inspire and influence technical and non-technical stakeholders

Nice To Haves

• Experience in fintech, banking, or other regulated industries
• Background in prompt engineering or working with LLM APIs
• Familiarity with agentic AI frameworks (LangChain, LangGraph, CrewAI)
• Experience running internal hackathons, innovation programs, or developer advocacy initiatives
• Experience with MCP (Model Context Protocol) and Agent Skills

Responsibilities

• Define and implement the AI-augmented SDLC strategy, establishing standards for how teams leverage AI tools throughout the development process—from requirements to deployment
• Architect enterprise-wide AI tool integrations, ensuring secure, compliant, and effective adoption across the organization
• Lead AI-assisted modernization of legacy systems, including using AI tools for code comprehension, refactoring, documentation generation, and migration planning for older codebases
• Design prompt engineering patterns, context management strategies, and best practices that maximize AI assistant effectiveness for development teams
• Establish metrics and measurement frameworks to quantify AI tool impact on velocity, quality, and developer satisfaction
• Lead governance efforts around AI-generated code, including review processes, security scanning, and compliance requirements specific to fintech
• Partner with security, compliance, and legal teams to ensure AI tool usage meets regulatory requirements (SOC 2, PCI-DSS, etc.)
• Drive organization-wide adoption through internal evangelism, hackathons, demo days, and hands-on enablement programs that change developer habits at scale

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed