Senior Engineering Manager, Generative AI Engineering – Consumer Technology

Wells Fargo•Concord, CA

1d•$191,000 - $305,000•Hybrid

About The Position

Wells Fargo is seeking a Senior Engineering Manager to lead Generative AI Engineering for Consumer Technology. This role involves building the GenAI platform and reusable capabilities to enable Consumer Technology teams to deliver AI-powered experiences safely and at scale. The manager will lead a team of Forward Deployed Engineers (FDEs) who embed with business and product partners to take high-value GenAI use cases from discovery to production. Additionally, the role will drive GenAI adoption and measurable developer productivity gains across Consumer Technology engineering. This is a hands-on leadership role for someone who has shipped GenAI solutions to production, knows how to turn individual wins into shared platform capabilities, and can build a high-performing team that operates within the controls expected of a regulated financial institution. The position reports to Vivek Pooyath, Technology Executive.

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

Nice To Haves

Hands-on experience with large language models (LLMs), prompt engineering and retrieval-augmented generation (RAG)
Experience with agentic AI frameworks such as LangGraph, and with tool integration standards such as the Model Context Protocol (MCP)
Experience with LLM evaluation and observability practices and tooling, and with LLMOps for operating GenAI solutions at scale
Experience with one or more public cloud platforms (Azure, GCP or AWS)
Experience with container platforms such as Kubernetes or OpenShift
Experience designing and building APIs and microservices
Experience in regulated industries, preferably banking or financial services
A track record of taking GenAI use cases from concept to production with measurable business impact
Experience establishing developer productivity and engineering metrics programs
Strong executive communication skills, including the ability to explain complex technical topics to senior business and technology leaders
Experience building and leading forward deployed engineering, solutions engineering or similar customer-embedded teams

Responsibilities

Define and execute the GenAI platform strategy and roadmap for Consumer Technology, aligned with enterprise AI platforms, architecture standards and business priorities
Build and operate shared GenAI services and reusable components, including model access, RAG pipelines, prompt and agent orchestration, tool integration, SDKs and reference architectures
Scale shared capabilities across Consumer Technology through LLMOps practices for versioning, deployment, monitoring, observability and cost management, keeping the platform resilient and cost-effective
Lead a team of Forward Deployed Engineers who embed with business and product teams to deliver high-value, high-impact GenAI use cases from discovery through production
Drive rapid prototyping followed by disciplined productionization, and track value realization across business outcomes, customer and colleague experience, and operational efficiency
Feed Forward Deployed Engineering learnings back into the platform, turning repeatable solutions from field engagements into reusable platform capabilities
Lead GenAI adoption and enablement across engineering and business partners through playbooks, onboarding guides, training and a GenAI community of practice
Drive adoption of AI coding assistants and own the developer productivity framework, including AI-assisted development and DORA metrics, with dashboards that pinpoint bottlenecks and guide improvement
Ensure GenAI solutions comply with Wells Fargo model risk management, Responsible AI, data governance and privacy policies, including appropriate handling of PII and sensitive customer data
Implement guardrails, evaluation standards and security controls (content filtering, prompt-injection defenses, grounding, bias and safety testing), with auditability for regulatory examination
Partner with business, product, enterprise architecture, cloud, data and cybersecurity stakeholders to prioritize the use case portfolio and report impact to senior leadership
Hire, coach and grow a high-performing, inclusive team of engineers, FDEs and engineering managers, setting clear goals and managing resources, budget and vendor partnerships