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Wells Fargo is seeking a highly motivated Senior Engineering Manager to lead AI/Generative AI initiatives within the HR Information Technology organization. This role will drive innovation by owning the GenAI strategy and end‑to‑end delivery across HR initiatives. The Senior Engineering Manager will lead the design, development, and operationalization of Generative AI solutions, translating complex business problems into scalable and compliant GenAI use cases. The role requires close collaboration with Product, HR, Risk, and Technology stakeholders to ensure alignment with enterprise AI governance standards and successful delivery of impactful solutions. As a transformational leader, you will collaborate closely with agile teams and product managers to deliver impactful outcomes through enterprise approved frameworks and modern engineering practices. You will bring deep technical insight into all components of the solution landscape and leverage that expertise to guide strategic decision‑making. You will champion process improvements, operational excellence, and scalable capacity planning to ensure the organization is equipped to meet ongoing technical and business demands
Job Responsibility:
Manage, coach, and develop a team or teams of experienced engineers and engineering managers in roles with moderate complexity and risk, responsible for building high quality capabilities with modern technology
Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture and enable application migration paths to target architecture
for example cloud readiness, application modernization, data strategy
Function as the technical representative for the product during cross-team collaborative efforts and planning
Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
Interpret, develop and ensure security, stability, and scalability within functions of technology with moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
Collaborate with, partner with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
Interact directly with third party vendors and technology service providers
Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in technology engineering
Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers
Requirements:
7+ 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 management or leadership experience
6+ years of IT experience, including 3+ years in AI/Gen AI, and 3+ years in engineering leadership and people management
6+ years of experience in technology delivery, with 3+ years of hands‑on experience in building and deploying AI / GenAI solutions
Lead, architect and deliver Agentic AI platforms leveraging LLMs, RAG pipelines, vector databases, orchestration frameworks, and agent‑to‑agent communication to enable autonomous and semi‑autonomous HR workflows and integrate with champion platforms (e.g., Workday, ServiceNow)
Closely work with the team to design scalable AI architectures that support multi‑step reasoning, tool invocation, workflow orchestration, and human‑in‑the‑loop patterns, ensuring reliability, observability, and performance in production environments
Translate complex HR business processes into agentic workflows, leveraging GenAI, LLMs, retrieval‑augmented generation (RAG), and agent‑to‑agent coordination to enable decision‑making, task execution, and intelligent routing to human agents when required
Strong understanding of LLM evaluation metrics, golden dataset design, faithfulness/grounding checks, hallucination scoring, and automated model-graded evaluations
Experience implementing observability and monitoring for AI systems (logs, traces, metrics, token usage, latency, and error tracking)
Ensure responsible AI and security controls—guardrails, PII filtering, DLP, red-teaming, and safe deployment practices
Strong understanding of AI and ML algorithms, spanning supervised/unsupervised learning, deep learning, transformers, optimization methods, and practical application of these techniques in production systems
Nice to have:
Proven ability to drive cross-functional programs and influence senior stakeholders
Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decision‑making, automation, and predictive insights
Lead and mentor engineering teams delivering scalable, secure, and high‑quality data solutions
Track industry trends, evaluate relevant tools/platforms, and adapt the best practices
Manage resources, vendors, and budgets, while building a strong talent pipeline and cultivating a culture that supports innovation and long‑term organizational capability
Act as a trusted advisor to business leaders, HR partners, and product owners on GenAI capabilities and limitations
Influence roadmap decisions and investment priorities for AI initiatives
Communicate solution value, risks, and progress to senior leadership
Excellent communication, leadership, and strategic thinking skills
Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products
Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices