Lead AI Engineer

CURRENT INTRO:

Shape the Future of Enterprise Operations with Generative AI

COO Technology sits at the heart of the enterprise, powering the systems that keep the Chief Operating Office running at scale—from strategic execution, resiliency, and regulatory enablement to customer experience, supply chain, and shared services. This team drives large‑scale modernization, building resilient, data‑driven platforms that enable operational excellence across the firm.

We are seeking a Lead Specialty Software Engineer to play a pivotal role in defining and delivering next‑generation Generative AI capabilities within this mission‑critical environment. This is a deeply hands‑on engineering role for someone who thrives at the intersection of distributed systems, streaming data, and AI at enterprise scale . You will architect and build production‑grade AI pipelines, embed modern observability into LLM and VLM (Vision Language Model) systems, and engineer for reliability, performance, and cost transparency from day one.

In this role, you will design scalable ingestion and streaming orchestration for high‑volume clickstream and case‑lifecycle data, deploy and operate containerized services through CI/CD and infrastructure‑as‑code, and bring rigor to AI systems through comprehensive monitoring, tracing, and resiliency patterns. You’ll also work with video and transcript data, enabling powerful downstream analysis, while seamlessly integrating with evaluation and analytics workstreams. The result: AI platforms that are not only innovative, but trusted, explainable, and built to run the business.

In this role, you will:

• Pipeline Development: Build scalable, robust ingestion pipelines for processing clickstream data, handling both participant-level (full-day employee activity) and case-level (end-to-end case lifecycle) data streams.

• Streaming Orchestration: Design and implement streaming platform-based orchestration for pipeline coordination, ensuring reliable data flow and processing guarantees.

• Container Platform Deployment: Deploy and manage containerized services on enterprise container platforms, implementing CI/CD pipelines and infrastructure-as-code practices.

• AI Model Observability: Implement comprehensive observability for LLM and VLM pipelines, including:

  • Performance monitoring and metrics collection.

  • Distributed tracing for multi-model pipelines.

  • Logging and alerting for model inference.

  • Cost tracking and optimization.

• Resiliency Engineering: Build fault-tolerant systems with retry mechanisms, circuit breakers, dead letter queues, and graceful degradation patterns.

• Video/Transcript Processing: Work with VLMs to process clickstream video data and generate high-quality transcripts for downstream analysis.

• Integration: Ensure seamless integration with downstream Analysis & Evaluation workstream.

Required Qualifications:

• 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

• 2+ years of experience with streaming platforms for data orchestration.

• 2+ years of experience with containerization and container orchestration platforms

• 2+ years of deploying and operating ML/AI models in production environments.

• 3+ years of experience programming with Python.

Desired Qualifications:

• 5+ years of experience in software engineering with focus on data pipelines and distributed systems.

• Experience with LLMOps/MLOps frameworks for observability.

• Experience with Vision Language Models (VLMs) or multi-modal AI systems.

• Experience with enterprise container platforms.

• Background in video processing or computer vision pipelines.

• Experience with observability tools and platforms.

• Experience building resilient systems with patterns like circuit breakers, bulkheads, and retry policies.

• Experience with cloud computing platforms.

• Knowledge of infrastructure-as-code tools.

• Experience with CI/CD pipelines.

• Understanding of data quality and validation frameworks.

• Experience in financial services or enterprise environments.

• Excellent communication skills across technical and non-technical audiences.

Job Expectations and Core Values:

• Be Humble: You're smart yet always interested in learning from others.

• Work Transparently: You always deal in an honest, direct, and transparent way.

• Take Ownership: You embrace responsibility and find joy in having the answers.

• Learn More: You regularly self-educate and improve your skill set.

• Show Gratitude: You show appreciation and respect to those you work with.

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.

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:

* 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.

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.