Principal Engineer – GenAI in SDLC (Java & Agentic AI)
Wells Fargo20 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Act as the enterprise technical authority for AI-Augmented SDLC, Agentic Engineering, and AI-Native Software Development.
- Define the technical vision, architecture, roadmap, standards, governance models, and reference architectures for Generative AI in the SDLC.
- Lead adoption of AI agents, AI teammates, developer assistants, and intelligent automation platforms across technology organizations.
- Design and implement autonomous and semi-autonomous agents for software planning, development, testing, code review, vulnerability remediation, release automation, documentation, and knowledge discovery.
- Define multi-agent and human-in-the-loop architectures that balance automation, productivity, and operational risk.
- Build integrations using Model Context Protocol, knowledge platforms, retrieval systems, developer portals, CI/CD platforms, IDEs, and release pipelines.
- Establish self-service AI engineering capabilities and enterprise strategies for observability, telemetry, adoption, and value realization.
- Partner with Security, Risk, Compliance, Architecture, and Technology leadership to establish responsible AI governance and controls.
- Influence enterprise engineering strategy and mentor Principal Engineers, Distinguished Engineers, Architects, and engineering leaders.
- Lead adoption and measurable business outcomes for AI-enabled engineering solutions across multiple technology organizations and business lines.
Requirements
- 7+ years of engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
- Strong software engineering experience or equivalent demonstrated through work experience, training, military experience, or 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 communication skills.
- Preferred experience leading enterprise AI transformation, AI-Augmented SDLC, or Agentic Engineering initiatives.
- Preferred knowledge of Generative AI platforms, LLMs, AI application architectures, AI coding platforms, agentic frameworks, multi-agent systems, RAG, enterprise search, semantic search, vector databases, AI governance, observability, model evaluation, prompt engineering, agent evaluation, and responsible AI.
- Financial services or highly regulated industry experience and thought leadership through transformation initiatives, publications, presentations, or industry contributions are preferred.
Benefits
- Hybrid work model; occasional travel may be required based on business needs.
- Equal opportunity employer with disability accommodations available upon request.
- Drug-free workplace.
Tech Stack
Categories
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.