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

• Partner with business stakeholders, product owners, and engineering teams to understand business problems, identify AI-enabled opportunities, and define end-to-end technical solutions.
• 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:
  • Prompt engineering and AI workflow design
  • 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 OpenAI, Anthropic, or similar technologies.
• Experience integrating AI solutions with enterprise platforms such as ServiceNow, Salesforce, or internal workflow systems.
• 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

• Must be based in one of the above locations or willing to relocate at your own expense.
• Relocation assistance is not available for this position.
• This position currently offers a hybrid work schedule.
• 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.

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.