Engineering Manager – GenAI (Hands On)
Wells Fargo
- Location
- Bengaluru South, Karnataka, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- Agile
- AWS
- Angular
- Ansible
- Azure
- banking
- compliance
- data strategy
- Datadog
- DevOps
- GCP
- JavaScript
- Jenkins
- microservices
- people management
- React
- SOAP
- SRE
- TDD
- TensorFlow
- ServiceNow
- Pytorch
About the role
Wells Fargo
Website:
wellsfargo.com
Job details:
About This Role
- Wells Fargo is seeking an Engineering Manager – GenAI, to lead delivery of enterprise‑scale AI, ML, and Generative AI solutions within the I&O Automation organization in ITSO. This role combines hands‑on technical leadership with people management, owning architecture, execution, and development of a team of approximately scrum team
In This Role, You Will
- Manage, coach, and develop a team of individual contributor engineer roles with low to moderate complexity and less experienced managers who are responsible for building high quality capabilities with modern technology
- Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
- 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
- Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team
- 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
Required Qualifications
- 5+ years of software engineering experience.
- 2+ years of experience leading or managing engineering teams.
- Strong experience designing and building distributed, enterprise‑scale systems.
Desired Qualifications
- Bachelor’s degree in computer science or equivalent.
- Proficiency in Python, JavaScript, Angular/React, REST/SOAP APIs.
- Experience with AI/GenAI frameworks (LangChain, LangGraph) and ML libraries (TensorFlow, PyTorch).
- Hands‑on experience with Generative AI and RAG pipelines (vector DBs, embeddings, retrieval).
- Strong understanding of microservices, cloud platforms (AWS, Azure, GCP), and IaC.
- Experience with CI/CD (Harness, Jenkins), automation and observability tools (Ansible, Prometheus, Grafana, ELK, Datadog), and ServiceNow.
- Strong Agile, TDD, and DevOps practices.
Job Expectations
- 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.
Reference Number
R-531148
Click on Apply to know more.
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