Generative AI Senior Engineer for Guardrails and API Services

About this role:

Wells Fargo is seeking a Generative AI Senior Engineer for Guardrails and API Services within Digital Technology – AI Capability Engineering. We are building s enterprise-grade observability, evaluation, command, control, and safeguards layer for generative and agentic AI systems. In this role, you will build, integrate, and operate core these capabilities to ensure AI agents run safely, reliably, and in alignment with enterprise expectations for security, auditability, resiliency, and operational excellence. Your work will span agent tracing, evaluation pipelines, guardrails/intervention services, and the Agent Registry and Control Center experiences.

In this role, you will:

• Lead moderately complex Generative AI 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

Desired Qualifications:

• Hands-on experience instrumenting applications/agents using SDK hooks and span models; ensuring end-to-end trace propagation for prompts, context documents, tools, and agent workflows

• Experience configuring Arize spaces/projects, dashboards/monitors, and evaluation pipelines (LLM-as-Judge and/or code-based scoring); exports for offline analysis

• Experience building and operating event/data flows across services, storage, and metadata stores (e.g., spans → Arize DB/HPOS → Postgres metadata) with strong ingestion/query reliability

• Experience designing registry metadata models (YAML schemas, UIDs, versioning, dependency graphs) and building governance views/UIs

• Experience implementing behavior guardrails and runtime intervention patterns using Redis/Kafka signals and signal handlers (e.g., kill/clean/HITL)

• Proficiency in Python (5+ years) ; REST and/or gRPC; event-driven design

  Experience operating services on Kubernetes with GitOps/CI/CD, OpenTelemetry, Postgres, Kafka/Redis, and object storage (HPOS)

• Experience with identity/entitlements (OAuth scopes, RBAC/ABAC), and sensitive data handling (masking/redaction) for UI/exports

• Strong operational rigor: runbooks, incident response, performance regression gating, and clear written communication

• Hands on experience of developing UI (html,javascript)

 

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$100,000.00 - $196,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date:

5 Feb 2026

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