Forward Deployed Principal AI Engineer | Onsite

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 

• 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. 

Compensation, Benefits and Duration

Minimum Compensation: USD 82,000
Maximum Compensation: USD 289,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post