AI Engineering Manager

Wells Fargo & Company•Iselin, NJ

22h•$119,000 - $224,000•Onsite

About The Position

Wells Fargo is seeking an Engineering Manager – GenAI, to lead delivery of enterprise‑scale AI, ML, and Generative AI solutions within CCBIT. This role combines hands‑on technical leadership with people management, owning architecture, execution, and development of a scrum team. In this role, you will: Lead, manage, and develop a team of software engineers, providing technical direction, coaching, and performance management. Remain hands‑on with architecture, design, and critical code paths for AI, ML, and Generative AI solutions. Own and drive technical strategy, solution design, and execution for multiple AI initiatives. Establish and enforce engineering standards, coding best practices, and architectural patterns. Partner with product owners, architects, SRE, and platform teams to deliver secure, scalable, and resilient solutions. Lead design and architecture reviews; ensure alignment with enterprise standards, risk, compliance, and NFRs. Drive Agile delivery, planning, grooming, estimation, and execution. Act as an escalation point for complex technical and operational issues. Foster a culture of engineering excellence, innovation, and continuous learning. Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture, for example, cloud readiness, application modernization and data strategy Function as the technical representative for the product during cross-team collaborative efforts and planning Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture 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 low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk 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 Interact directly with third party vendors and technology service providers 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

Requirements

5+ years of software engineering experience.
1+ years of experience leading or managing ML/AI engineering teams.
Strong experience designing and building distributed, enterprise‑scale systems.

Nice To Haves

Bachelor’s degree in computer science or equivalent.
Proficiency in Python, JavaScript, Angular/React, REST/SOAP APIs.
Experience with AI/GenAI frameworks (LangChain, LangGraph)
Hands‑on experience with Generative AI and RAG pipelines (vector DBs, embeddings, retrieval).
Strong understanding of microservices, cloud platforms (AWS, Azure, GCP)
Experience with CI/CD (Harness, Jenkins), automation and observability tools (Ansible, Prometheus, Grafana, ELK, Datadog), and ServiceNow.
Strong Agile and DevOps practices.
Experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility.
Hands-on experience with major GenAI platforms (e.g., Microsoft VS Code, GitHub Copilot ).
Familiarity with Model Context Protocol (MCP), enterprise-grade agentic workflows is highly desirable
Deep knowledge of LLM and API integration, including RESTful API design.

Responsibilities

Lead, manage, and develop a team of software engineers, providing technical direction, coaching, and performance management.
Remain hands‑on with architecture, design, and critical code paths for AI, ML, and Generative AI solutions.
Own and drive technical strategy, solution design, and execution for multiple AI initiatives.
Establish and enforce engineering standards, coding best practices, and architectural patterns.
Partner with product owners, architects, SRE, and platform teams to deliver secure, scalable, and resilient solutions.
Lead design and architecture reviews; ensure alignment with enterprise standards, risk, compliance, and NFRs.
Drive Agile delivery, planning, grooming, estimation, and execution.
Act as an escalation point for complex technical and operational issues.
Foster a culture of engineering excellence, innovation, and continuous learning.
Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture, for example, cloud readiness, application modernization and data strategy
Function as the technical representative for the product during cross-team collaborative efforts and planning
Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture
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 low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
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
Interact directly with third party vendors and technology service providers
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