Job Summary

About this role: Wells Fargo is seeking a Principal Engineer - Gen AI.

In this role, you will:

- Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
- Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
- Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
- Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
- Maintain knowledge of industry best practices and current technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
- Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership





Required Qualifications
- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications
- Deep end-to-end GenAI stack expertise, including LLMs, RAG, vector databases, prompt engineering, fine-tuning, LLMOps, observability, and production deployment.
- Strong expertise in Agentic AI platforms and multi-agent architectures, including planning, reasoning, memory management, tool orchestration, workflow automation, and autonomous execution frameworks.
- Demonstrated leadership in AI evaluations, benchmarking, and model quality assurance, with experience in red teaming, safety testing, performance measurement, and continuous evaluation frameworks.
- Expert knowledge of AI guardrails, Responsible AI, and GenAI governance, covering model lifecycle management, compliance, auditability, policy enforcement, risk controls, and enterprise governance frameworks.
- Deep understanding of GenAI cybersecurity risks and mitigations, including prompt injection, jailbreaks, data leakage, model abuse, supply chain risks, OWASP LLM Top 10, MITRE ATLAS, and AI security best practices.

📌 Principal Engineer - Gen AI (Bengaluru)
🏢 Wells Fargo
📍 Bengaluru