Specialty Software Engineer 3 (Cloud RAG)

Specialty Software Engineer 3 (Cloud / RAG) PhD candidate

Charlotte NC hybrid They really prefer a local Candidate

Key Responsibilities

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

Drive AI innovation by accelerating business use cases using frameworks like ADK and LangChain.

Collaborate across teams to align with technical strategies and support application migrations and modernization efforts.

Ensure engineering excellence by resolving tech roadblocks conducting peer reviews and influencing secure scalable product roadmaps.

Section 4: Required Skills

4 years of Software Engineering experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education

1 years of experience with cloud environments (Azure GCP OpenShift) and cloud-native development.

6 months of experience with retrieval-augmented generation (RAG) and/or agentic workflows in generative AI applications.

PhD in computer science or related field.

Section 5: Desired Skills

Experience in the financial industry or familiarity with regulatory and compliance requirements.

Ability to balance technical excellence with business priorities.

Expertise in test-driven development methodologies.

Strong focus on end-user experience delivering intuitive and valuable solutions.

Alignment with Wells Fargos mission to transform the employee experience through generative AI.