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Wells Fargo

Forward Deployed AI Specialist — Trading & Capital Markets

Wells Fargo is hiring a Forward Deployed AI Specialist — Trading & Capital Markets in New York, United States. Level rates it ; you can apply on Wells Fargo.

Level's read on this job

  • Level rates this forward deployed engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions RAG and AI safety among its tools and skills.
  • Level classes it as a senior role.
  • Wells Fargo has 1,600+ other open roles on Level.
  • Posted in the last few days.

AI in this role

ragai-safety

About this role:

Wells Fargo is seeking an experienced Forward Deployed AI Specialist to help shape AI-powered trading workflows within Corporate & Investment Banking. This is a hands-on individual contributor opportunity to combine deep technical AI expertise with trading-domain knowledge and direct partnership with trading stakeholders to solve complex, high-value problems.

As a Forward Deployed AI Specialist, you will embed with trading, product, and operational teams to understand market data, trading analytics, execution, and post-trade workflows; identify opportunities for agentic AI; and rapidly design and prototype solutions that deliver measurable value. You will work at the intersection of trading, technology, data, and risk—building solutions that are innovative, practical, and deployable within a highly regulated environment.
Successful candidates are equally comfortable engaging with senior trading leaders, working hands-on with modern AI technologies and trading data, and partnering with technology teams to transition solutions from prototype to production.

In this role, you will:

  • Partner with trading, product, and operational teams to identify workflow needs, pain points, controls, and transformation opportunities; translate requirements across market data, quantitative analysis, execution, risk limits, position keeping, and settlement into technical designs, workflows, and prototypes.
  • Develop solutions for trading analytics, market information processing, execution, and post-trade analysis. Select the right approach (machine learning, generative AI, agents, or no AI), define success criteria, and prototype with product and technology teams to test value with trading users and representative market data.
  • Apply large language models (LLMs), agentic systems, retrieval-augmented generation (RAG), tool use, orchestration, and evaluation methods to trading workflows and analysis of financial news, filings, and market indicators.
  • Partner with technology teams to take AI solutions from concept through production, delivering measurable improvements in desk productivity, analytics, execution, and operational effectiveness.
  • Partner with Risk, Compliance, Legal, Privacy, Information Security, and other control teams to ensure AI solutions are explainable, auditable, and aligned with governance standards and trading controls.
  • Develop reusable AI patterns, capabilities, tools, evaluations, and reference architectures across trading desks and asset classes.
  • Stay current on AI technologies, frameworks, and best practices for trading, and build AI fluency across trading teams


Required Qualifications:


  • 10+ years of Artificial Intelligence Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Direct experience applying market data feeds, including Level 1 and Level 2 market data and order book dynamics, to quantitative analysis or automated execution and analytics workflows across equities, fixed income, FX, or derivatives.
  • Hands-on experience designing and orchestrating agentic AI systems for trading or capital markets workflows.
  • Understanding of trading controls and post-trade workflows, including risk limits, position keeping, and settlement.


Desired Qualifications:


  • Experience deploying AI-powered solutions into production trading or capital markets workflows with measurable business impact
  • Experience with large language models (LLMs), retrieval-augmented generation (RAG), and evaluation frameworks for AI-powered solutions
  • Experience rapidly prototyping AI solutions using Python, notebooks, or low-code tools while maintaining a production-oriented mindset
  • Strong communication and stakeholder management skills with the ability to engage effectively across trading, technology, and control functions
  • Knowledge of model governance, AI risk management, responsible AI, privacy, and information security practices
  • Experience with cloud-based AI platforms, enterprise data ecosystems, and production AI deployment patterns
  • Experience working with high-frequency tick data, Level 2 and Level 3 order book reconstruction, bid-ask spread dynamics, and order execution mechanisms to support trading analysis and execution workflows
  • Exposure to algorithmic trading strategies, automated execution loops, and back-testing frameworks, including approaches to handling look-ahead bias and slippage
  • Experience applying agentic AI systems to process real-time financial news, filings, and market indicators in support of quantitative strategies and trading desk workflows
  • Understanding of mark outs and transaction cost analysis (TCA)


Job Expectations:

  • This position requires on site presence at our New York office
  • This position is not eligible for Visa sponsorship


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:

5 Nov 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.

c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.

How we rate this

Forward Deployed AI Specialist — Trading & Capital Markets at Wells Fargo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI Safety

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: RAG and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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