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.
$119,000.00 - $224,000.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 3+ years of hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), including solution architecture, governance, and deployment.
• 1+ years of experience designing, building, and deploying solutions using Microsoft 365 Copilot and Copilot Studio, with a strong understanding of prompt engineering, grounding, and extensibility

Desired Qualifications:

• 3+ years of hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), including solution architecture, governance, and deployment.
• 1+ years of experience designing, building, and deploying solutions using Microsoft 365 Copilot and Copilot Studio, with a strong understanding of prompt engineering, grounding, and extensibility.
• Proven ability to design and manage AI-powered agents using Copilot Studio’s agent capabilities, including orchestration, memory, and multi-turn conversation flows.
• Experience working in large-scale enterprise environments, preferably in the financial services industry.
• Familiarity with generative AI concepts such as Retrieval-Augmented Generation (RAG) and agentic workflows.
• Familiarity with Data Connectors and API gateways that support seamless communication between systems.
• Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, Azure AI Foundry, Google Agent Space, Google Gemini, Microsoft 365, and M365 Copilot.
• Ability to orchestrate processes across integrated systems to enable robust workflows and seamless operations.
• Ability to collaborate with cross-functional teams to align technical solutions with business goals and end-user needs.
• A strong focus on cybersecurity and risk management throughout the software development lifecycle.
• Passion for designing solutions that prioritize end-user experience and usability.
• Strong problem-solving skills and attention to detail in complex system design

Wells Fargo is seeking a Skilled Software Engineer specializing in the design and development of agentic AI solutions using advanced development tools and services. This role is crucial for developing customized AI capabilities that enhance the efficiency and productivity of Wells Fargo employees. The successful candidate will drive innovation by integrating AI technologies into business processes, delivering value through bespoke solutions. This position requires a solid understanding of AI technologies and their application in large-scale enterprise environments.

In this role, you will:

• Lead the design, development, and deployment of AI-driven agent capabilities across the enterprise, ensuring robust performance and scalability.
• Assist in the development and execute comprehensive plans to integrate AI technologies into business processes, aimed at enhancing operational efficiency and boosting employee productivity.
• Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact.
• Support the transformation of Enterprise Functions Technology (EFT) capabilities by integrating Generative AI and Agent technologies, driving innovation and modernization.
• Drive efficiencies and productivity across Wells Fargo enterprise divisions through the deployment of innovative AI solutions.
• Collaborate closely with cross-functional teams, including IT and business units, to identify and maximize opportunities for AI integration and enhancement.
• Translate stakeholders’ needs into technical requirements and actionable plans, ensuring seamless execution and delivery.
• Drive innovation by exploring new AI applications and solutions that can benefit the enterprise, leading research and development efforts to keep Wells Fargo at the forefront of AI technology.
• Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
• Communicate effectively with stakeholders, including senior leadership, to convey complex technical concepts and the value of AI initiatives.
• Prepare and present reports and technical documentation to support development processes and articulate the projects solutions to non-technical audiences.

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• 3+ years of hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), including solution architecture, governance, and deployment.
• 1+ years of experience designing, building, and deploying solutions using Microsoft 365 Copilot and Copilot Studio, with a strong understanding of prompt engineering, grounding, and extensibility.

Desired Qualifications:

• 3+ years of hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), including solution architecture, governance, and deployment.
• 1+ years of experience designing, building, and deploying solutions using Microsoft 365 Copilot and Copilot Studio, with a strong understanding of prompt engineering, grounding, and extensibility.
• Proven ability to design and manage AI-powered agents using Copilot Studio’s agent capabilities, including orchestration, memory, and multi-turn conversation flows.
• Experience working in large-scale enterprise environments, preferably in the financial services industry.
• Familiarity with generative AI concepts such as Retrieval-Augmented Generation (RAG) and agentic workflows.
• Familiarity with Data Connectors and API gateways that support seamless communication between systems.
• Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, Azure AI Foundry, Google Agent Space, Google Gemini, Microsoft 365, and M365 Copilot.
• Ability to orchestrate processes across integrated systems to enable robust workflows and seamless operations.
• Ability to collaborate with cross-functional teams to align technical solutions with business goals and end-user needs.
• A strong focus on cybersecurity and risk management throughout the software development lifecycle.
• Passion for designing solutions that prioritize end-user experience and usability.
• Strong problem-solving skills and attention to detail in complex system design.

Job Expectations:

• Be Humble: You’re smart yet always interested in learning from others.
• Work Transparently: You always deal in an honest, direct, and transparent way.
• Take Ownership: You embrace responsibility and find joy in having the answers.
• Learn More: You regularly self-educate and improve your skill set.
• Show Gratitude: You show appreciation and respect to those you work with.

Compensation for this role at Menlo Park CA is between $133,300 to $237,100 depending on skills and expertise.
Compensation for this role at Charlotte NC is between $111,100 to $197,500 depending on skills and expertise.