About this role:

Wells Fargo is seeking a Principal Quantitative Analytics Specialist to serve as the hands‑on architectural authority for reusable GenAI, agentic, and advanced analytics capabilities, operating at enterprise scale while remaining an individual contributor.

Responsible for re‑architecting complex analytics and AI systems into modular, composable, reusable capabilities that materially reduce delivery cycle time and raise the engineering bar across teams. The principal does not merely advise on architecture—they design, prototype, and validate reference implementations that become the foundation for scaled delivery.

This role sits at a critical inflection point: transforming analytics delivery from bespoke solutions to durable, governed platforms that balance speed, reliability, and regulatory rigor.

In this role, you will:

Execute Architecture & Re‑Architecture

• Act as a principal architect and execution lead for GenAI and agentic capabilities spanning multiple portfolios.
• Identify architectural bottlenecks in existing solutions and lead their redesign into modular, reusable components (agents, tools, evaluation modules, guardrails, observability layers).
• Design and validate reference architectures for agentic workflows, including tool use, orchestration, memory, and failure recovery patterns.
• Translate architectural intent into working code, templates, and patterns that teams can directly adopt.

Ensure Velocity Through Reuse and Platformization

• Reduce build‑to‑production cycle time by standardizing abstractions, interfaces, and evaluation pipelines.
• Establish and evangelize “build once, reuse many” principles across GenAI and advanced analytics use cases.
• Introduce engineering practices that improve velocity and safety, including:
• Contract‑driven component interfaces
• Automated evaluation and regression testing
• Safe fallback and degradation patterns

Have Hands‑On Technical Leadership

• Personally design, prototype, and validate agentic and GenAI architectural spikes.
• Review and challenge system designs and implementations produced by senior engineers and data scientists.
• Serve as a technical authority on architectural trade‑offs, failure modes, and system boundaries, while stopping short of formal people management.
• Raise organizational capability by teaching through execution, not documentation alone.

Ensure Evaluation, Guardrails, and Reliability by Design

• Define reusable LLM and agent evaluation frameworks covering quality, hallucination, robustness, bias, cost, and latency.
• Ensure evaluation, monitoring, and failure analysis are first‑class architectural components.
• Anticipate system failure modes and design solutions that fail safely and observably in regulated environments.

Support Governance, Risk, and Partnership

• Partner closely with Technology, Product, and Model Risk to ensure architectures are:
• Explainable
• Auditable
• Scalable under regulatory scrutiny
• Convert architectural decisions into clear, reusable artifacts that support validation, audit, and reuse.
• Balance rapid execution with the realities of operating in a highly regulated financial environment.

Required Qualifications:

• 10+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• 8+ years of experience designing and delivering advanced analytics, ML, or AI systems.
• Demonstrated experience re‑architecting existing systems for modularity, reuse, and speed.
• Advanced proficiency in Python and modern AI/ML engineering practices.
• Proven ability to operate as a hands‑on architectural authority without formal people management.
• Experience designing or contributing to internal AI platforms or developer frameworks.
• Deep exposure to agentic AI systems, LLM evaluation, and reliability engineering.
• Experience operating in regulated industries.
• Prior exposure to hyperscale or hyperscale‑adjacent engineering practices (strong plus)

Job Expectations:

• This position is not eligible for Visa sponsorship
• This position offers a hybrid work schedule
• Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process
• Ability to travel up to 10% of the time

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Locations:

• 401 Las Colinas Blvd W - Irving, Texas 75039
• 550 South Tryon Street - Charlotte, North Carolina 28202
• 1525 W W T Harris Blvd - Charlotte, North Carolina 28262
• 600 South 4th Street - Minneapolis, Minnesota 55415
• 333 Market Street - San Francisco, California 94105
• 2700 South Price Road - Chandler, Arizona 85286
• ​800 South Jordan Creek Pkwy - West Des Moines, Iowa 50266

Pay Range:

$215,000 - $355,000 USD Annual

Eligible Discretionary Bonus

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.

$215,000.00 - $355,000.00

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:

8 Apr 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.

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.

For more details click Job Post.