Principal Engineer - Gen AI, LLM, RAG, Agentic AI

Wells Fargo Bengaluru, India

About the role

This is a principal engineering role at Wells Fargo in Bengaluru focused on advanced technology strategy across generative and agentic AI. It suits a senior technical leader who advises leadership on complex, enterprise-wide AI challenges spanning applications, security and infrastructure. The role centers on GenAI stack expertise, agentic AI platforms, AI evaluation and governance, and GenAI security risk mitigation.

What you’ll do

  • Act as advisor to leadership on applications, network, security, database and web technologies for complex needs
  • Lead strategy and resolution of highly complex challenges requiring evaluation across multiple areas
  • Translate advanced technology experience and business objectives into technical engineering solutions
  • Provide vision, direction and expertise to leadership on implementing significant business solutions
  • Maintain knowledge of industry best practices and recommend innovations for competitive advantage
  • Serve as expert advisor to leadership across the enterprise

What they’re looking for

  • 7+ years of engineering experience, or equivalent through work experience, training, military experience or education

Nice to have

  • Deep end-to-end GenAI stack expertise: LLMs, RAG, vector databases, prompt engineering, fine-tuning, LLMOps, observability, production deployment
  • Strong expertise in agentic AI platforms and multi-agent architectures including planning, reasoning and tool orchestration
  • Demonstrated leadership in AI evaluations, benchmarking and model quality assurance, including red teaming and safety testing
  • Expert knowledge of AI guardrails, Responsible AI and GenAI governance frameworks
  • Deep understanding of GenAI cybersecurity risks including prompt injection, jailbreaks, data leakage and OWASP LLM Top 10

Questions about this role

How many years of experience are needed?

7+ years of engineering experience.

What's the application deadline?

The posting end date is November 7, 2026.

What kind of expertise does this role focus on?

Generative AI stack, agentic AI platforms, AI evaluation/governance, and GenAI cybersecurity risk mitigation.

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