Software Engineering Senior Manager

• About the Role

  Wells Fargo is seeking a exceptional and deeply technical champion in  Generative AI Space for Technology for the Chief Operating Office (TCOO) - Shared Service Operation Technology (SSOT) Organization, driving the transformation of enterprise systems through large language models (LLMs) and cutting-edge AI frameworks. This role requires a strategic thinker and hands-on engineering expert who can bridge Generative AI architecture, AI innovation, and global-scale deployment. As the Senior Software Engineering Manager, you will lead cross-functional teams to deliver robust, scalable, and responsible Generative AI and ML solutions powered by Internal Generative AI Platform, Azure, Google Cloud AI Platform and Services.

  Key Responsibilities

• Manage a team of Software developers, and AI specialists delivering high-impact GenAI solutions.
• Architect and implement multi-agent orchestration frameworks with strong focus on Agent-Agent-to Communication and connect multi source using Model Context Procol for contextual coordination.
• Design and Handson on implementation Robust Agentic Engineering frameworks, model validation pipelines, and observability tools for LLM and multi-agent systems.
• Collaborate with global operation team build resilient, production-ready AI systems to improve their efficiency
• Establish and enforce best practices in automated testing, continuous integration, and responsible AI evaluation.
• Contribute to the architecture and deployment of GenAI applications across cloud-native and on-premises containerized environments.
• Define OKRs and KPIs for GenAI programs in alignment with strategic business and technology objectives.
• Promote a culture of engineering excellence and innovation across multidisciplinary teams.
• Ensure adherence to security, compliance, and ethical Wells Fargo standards in all GenAI deployments.
• Lead architecture, development, and deployment of GenAI Powered Application and services, ensuring they are enterprise-ready and production-grade.
• Manage engineering teams building core capabilities such as retrieval-augmented generation (RAG), prompt engineering, multi-agent orchestration, and LLM evaluation pipelines.
• Partner with AI/ML research, cloud, and security teams to ensure seamless integration of LLM capabilities into business workflows.
• Establish best practices for LLM observability, responsible AI, testing, and continuous improvement.
• Collaborate with business stakeholders to translate requirements into scalable AI-powered applications.
• Promote reusability through reference architectures, shared services, and framework standardization.
• Contribute hands-on to the design and implementation of core GenAI services, microservices, and data flows.

• Required Qualifications

• 18+ years of overall experience in software engineering, including 3+ years in a management or leadership role.
• 7+ years of experience with Large Language Models (LLMs) and related technologies.
• 2+ years of experience building and deploying GenAI applications in production.
• Strong background in Agentic Engineering and AI system design.
• 5+ years in people management and leadership of technical teams.
• Professional machine learning certifications from more than one Cloud Providers preferably Azure or Google.

• Preferred Qualifications

• Experience with LLM evaluation strategies, prompt engineering, and retrieval-augmented gener]ation (RAG).
• Experience implementing GenAI observability tools and scalable testing infrastructure.
• Background in AI governance, responsible AI practices, or enterprise AI quality frameworks.
• Demonstrated ability to lead QA functions for cutting-edge, research-driven AI applications.

• Leadership Expectations

• Be Humble: Foster continuous learning and team collaboration.
• Take Ownership: Embrace accountability and deliver impactful results.
• Work Transparently: Communicate clearly and build trust across teams.
• Show Gratitude: Encourage respect, inclusion, and mutual support.
• Inspire Innovation: Champion new ideas, experimentation, and quality-driven engineering.

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.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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.