# Principal Engineer – GenAI in SDLC (Java & Agentic AI) at Wells Fargo

Wells Fargo is hiring a Principal Engineer – GenAI in SDLC (Java & Agentic AI) in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on Wells Fargo](https://jobsbylevel.com/go/ecfd9f82-ab54-421c-84ff-bab4792142ab?utm_medium=ai-agent).

AI Level 3, AI centrality 72 out of 100. Bengaluru, India.

## Details

- Company: [Wells Fargo](https://jobsbylevel.com/companies/wells-fargo)
- AI level: AI Level 3 (score 72 out of 100)
- Location: Bengaluru, India
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/ecfd9f82-ab54-421c-84ff-bab4792142ab?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/principal-engineer-genai-in-sdlc-java-agentic-ai-at-wells-fargo-38c85f

## Description

About this role: Wells Fargo is seeking a Principal Engineer to lead the transformation of software engineering through AI-Augmented and Agentic Software Development. This role will define and drive the enterprise strategy, architecture, and implementation of Generative AI, AI Agents, AI Teammates, and Intelligent Automation across the Software Development Lifecycle (SDLC). As a key technical leader, you will establish enterprise-wide engineering patterns that enable developers to leverage AI safely, effectively, and at scale. You will partner across Developer Platforms, Internal Developer Portal (IDP), CI/CD, Knowledge Foundation, and Agentic Engineering initiatives to accelerate software delivery, improve developer productivity, enhance engineering quality, and advance Wells Fargo's AI-first engineering transformation. In this role, you will: Act as the enterprise technical authority for AI-Augmented SDLC, Agentic Engineering, and AI-Native Software Development practices. Define the technical vision, architecture, and roadmap for integrating Generative AI capabilities across the software development lifecycle. Lead enterprise-wide adoption of AI Agents, AI Teammates, Developer Assistants, and Intelligent Automation platforms. Establish reusable frameworks, standards, governance models, and reference architectures for AI-enabled engineering solutions. Design and implement autonomous and semi-autonomous AI Agents supporting software planning, development, testing, code review, vulnerability remediation, release automation, documentation generation, and knowledge discovery. Define Multi-Agent and Human-in-the-Loop architectures that balance automation, engineering productivity, and operational risk management. Build enterprise integrations leveraging Model Context Protocol (MCP), Knowledge Foundation platforms, retrieval systems, and developer productivity tooling. Drive the integration of Generative AI capabilities across Internal Developer Portals, CI/CD platforms, IDEs, developer workflows, and release pipelines. Establish self-service AI engineering capabilities that enable development teams to accelerate software delivery while improving quality and consistency. Develop enterprise observability, telemetry, adoption, and value realization strategies for AI-enabled engineering solutions. Partner with Security, Risk, Compliance, Architecture, and Technology leadership teams to establish responsible AI governance and controls. Influence engineering strategy across multiple technology organizations and serve as a trusted advisor to senior technology executives. Mentor Principal Engineers, Distinguished Engineers, Architects, and Engineering leaders while establishing enterprise standards for AI-Native Software Engineering. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Strong Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. 5+ years of experience architecting and building enterprise-scale distributed systems and cloud-native platforms. Extensive experience designing and scaling developer platforms, software engineering ecosystems, and enterprise engineering capabilities. Demonstrated success defining technology strategy and influencing architecture decisions across large, complex organizations. Strong expertise in Java-based engineering, microservices architecture, cloud-native application development, and modern software engineering practices. Experience implementing enterprise DevOps, CI/CD, platform engineering, and developer productivity solutions. Experience evaluating, implementing, or scaling AI-enabled engineering capabilities, developer assistants, or intelligent automation platforms. Strong leadership, stakeholder management, and enterprise architecture

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/principal-engineer-genai-in-sdlc-java-agentic-ai-at-wells-fargo-38c85f

Source: https://jobsbylevel.com/jobs/principal-engineer-genai-in-sdlc-java-agentic-ai-at-wells-fargo-38c85f

## Cite this page

Level. https://jobsbylevel.com/jobs/principal-engineer-genai-in-sdlc-java-agentic-ai-at-wells-fargo-38c85f.

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