Senior Software Engineer - Gen AI

About this role:

Wells Fargo is seeking a Senior Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications:

• 4+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Hands-on experience delivering complex data migration programs on GCP
• Experience in Google Cloud Platform (GCP), BigQuery, Dataproc / Apache Spark, Bigtable, Dataplex / Data Catalog
• Experience in Python (ETL/ELT pipelines and automation), SQL (data transformation, validation, and reconciliation), Databases: MySQL, Hive, MongoDB

Desired Qualifications:

• Design and execute comprehensive data migration strategies from on‑premises, legacy platforms, or other cloud environments to GCP.
• Migrate structured and semi‑structured data to BigQuery, Bigtable, and other GCP storage solutions.
• Build, optimize, and maintain scalable migration pipelines using Python, SQL, and distributed processing frameworks on Dataproc (Apache Spark).
• Implement batch and streaming migration patterns using Cloud Composer (Apache Airflow), Kafka, and Google Pub/Sub.
• Perform schema mapping, data transformation, reconciliation, and validation to ensure accuracy, consistency, and completeness of migrated datasets.
• Leverage GenAI and automation techniques to accelerate data discovery, schema understanding, mapping recommendations, and migration assessments.
• Cloud Composer / Apache Airflow
• Kafka and Google Pub/Sub
• Apigee / REST APIs (data extraction and integration)
• GenAI (LLMs, embeddings, prompt engineering) and how they integrate with data platforms
• Experience or familiarity with Vertex AI, BigQuery ML, or GenAI‑enabled data services on GCP (preferred but not mandatory)
• Apply GenAI‑assisted data transformation, code generation, and migration pattern optimization where applicable (e.g., SQL conversion, pipeline scaffolding, test case generation).
• Enable metadata management, lineage, and governance using Dataplex and Data Catalog.
• Handle large‑volume data transfers using industry best practices such as parallel loading, incremental loads, and CDC where applicable.
• Handles GenAI Automation
• Small to Large scale big data implementation, with tool based and spark flow implementation
• GCP Transformation
• Strong foundation in data engineering and cloud migration
• Detail-oriented with a proactive approach to identifying migration risks
• Ability to work cross-functionally to ensure successful delivery outcomes
• Focus on high reliability, performance, and data integrity during migrations
• Brings a modern mindset toward GenAI adoption
• Leverages AI-assisted techniques to improve migration efficiency
• Supports enhanced data governance and readiness for advanced analytics and AI use cases

 

Posting End Date: 

1 Oct 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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