Forward Deployed Principal AI Engineer - CB AI/ML

Wells Fargo

Charlotte, USonsite$159k-$254k/yrPosted Jun 16, 2026

Skills

salesforcepythonopenaiml

About the role

About this role:

Wells Fargo is seeking a Forward-Deployed AI Engineer to support the design, development, and deployment of enterprise-scale Artificial Intelligence solutions. This role sits at the intersection of advanced AI platforms, enterprise technology, and business problem-solving. The engineer will work closely with business partners, product teams, and engineering organizations to translate complex and often ambiguous requirements into secure, scalable, and production-ready AI solutions that deliver measurable business outcomes.

This is a hands-on, customer-embedded engineering role that requires strong technical depth, a product-oriented mindset, and the ability to operate effectively in a regulated enterprise environment.

In this role, you will:

Design, prototype, and deliver AI-driven workflows, agents, copilots, and automations using large language models (LLMs) and enterprise AI services.

Integrate AI capabilities with enterprise platforms and systems (e.g., ServiceNow, Salesforce, data platforms, internal services) using secure APIs and orchestration patterns.

Rapidly iterate on prototypes and transition them into production-ready solutions that meet enterprise standards for reliability, scalability, and supportability.

Act as a technical bridge between business, product, data, security, and engineering teams to ensure solutions are usable, compliant, and aligned with business objectives.

Lead solution architecture and design activities, including:

API integration and service orchestration

Enterprise knowledge and data integration

Security, privacy, risk, and governance considerations

Own solutions across the full lifecycle—from concept and proof of value through production deployment and continuous improvement.

Apply and promote best practices for responsible AI, including model risk management, data protection, and compliance with enterprise and regulatory requirements.

Contribute to the development of reusable patterns, standards, and guidance to support scalable AI adoption across the enterprise.

Required Qualifications:

7+ years of software engineering experience, including designing and delivering production-grade systems.

7 + experience with API design, integration, and distributed systems in an enterprise environment.

2+ Years of Hands-on experience building and integrating AI or ML-powered applications, including experience with large language models (LLMs).

2+ Years of experience in Python programming language.

Desired Qualifications:

Demonstrated ability to translate ambiguous business requirements into well-architected technical solutions.

Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders.

Experience working with AI platforms and services such as Google Gemini, Anthropic, OpenAI, or similar technologies.

Experience integrating AI solutions with internal enterprise systems or SAAS platforms such as ServiceNow, Salesforce.

Familiarity with enterprise security, privacy, governance, and risk management practices, particularly in regulated industries.

Experience delivering solutions in large, matrixed organizations with multiple stakeholders.

A product-minded approach with a focus on user experience, business value, and operational impact.

Job Expectations:

Ability to work in a fast-paced environment with evolving priorities.

Comfort operating in areas of ambiguity while maintaining strong engineering discipline.

Commitment to Wells Fargo’s risk management culture, including adherence to policies, controls, and governance requirements.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

Salary is just one component of Wells Fargo's total rewards package. Depending on the role, a Wells Fargo's employee may be eligible for additional forms of compensation, such as sales incentives, discretionary bonuses, and/or equity in the company in the form of Restricted Stock Units (RSUs).

$159,000.00 - $254,000.00

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:

22 Jun 2026

Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

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.

Compensation

This Machine Learning Engineer role pays $159k-$254k/yr. Within typical range for machine learning engineer roles in United States.

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