Agentic AI Senior Software Engineer

About the Role

Key Responsibilities

• 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.

Requirements

• 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or 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.
• 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.

Nice to Have

• Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), including solution architecture, governance, and deployment.
• 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.

Qualifications

• Educational background or formal qualifications are not explicitly specified, but experience and skills are emphasized.

Benefits & Perks

• 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