Principal Engineer - Generative AI Data & Analytics

Wells Fargo · Hyderabad · 7+ yrs experience · Posted 2026-07-28

Tech stack: Azure

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About the role

About this role: Wells Fargo is seeking a Principal Engineer - Generative AI Data & Analytics. 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 new 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: Data Engineering & Pipeline Development. Building scalable batch and streaming pipelines for GenAI data (telemetry, usage, model outputs). Analytics & Dashboarding (BI). Creating executive dashboards for GenAI insights (usage, performance, cost, reliability. Experience supporting Generative AI, Machine Learning, or AI platform initiatives. Knowledge of MLOps/AIOps, model monitoring, and AI observability frameworks. Relevant cloud certifications (Azure Data Engineer, Databricks, Snowflake, etc.).

Qualifications

- 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Data Engineering & Pipeline Development.
- Building scalable batch and streaming pipelines for GenAI data (telemetry, usage, model outputs).
- Analytics & Dashboarding (BI).
- Creating executive dashboards for GenAI insights (usage, performance, cost, reliability.
- Experience supporting Generative AI, Machine Learning, or AI platform initiatives.
- Knowledge of MLOps/AIOps, model monitoring, and AI observability frameworks.
- Relevant cloud certifications (Azure Data Engineer, Databricks, Snowflake, etc.).

Responsibilities

- 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 new 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.

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