Role overview
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.
Responsibilities
- 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:
- 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.
Basic 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.
Preferred 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.
Benefits
- 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
Tags & focus areas
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