Senior Software Engineer - Gen AI Cloud

About this role:
Wells Fargo is seeking a Senior Software Engineer within the Enterprise Core Infrastructure Services (CIS) under CTO Organization focused on enabling the Next generation Gen AI solutions on public cloud platforms.
In this role, you will:

• Write, develop, and deploy Terraform code and modules for infrastructure as code to provision and manage Gen-AI services on GCP, Azure, and OpenAI platforms, ensuring production-ready deployments.

• CIS CTO is a key contributor in delivering and automating the provisioning of Cloud Infrastructure using Infrastructure as a Code for the cutting-edge Gen-AI services such as Agentic Solutions, Agentic Development Frameworks (ADK), Agentic-to-Agentic (A2A) services, MCP (Model Control Protocol) framework and the associated LLM models in Azure and GCP Clouds.

• Enable and optimize infrastructure for agentic AI frameworks, including A2A protocols (e.g., Google's proposed frameworks) and Model Control Protocol (MCP).

• Leverage expertise in large language models (LLMs) such as GPT-4, Google-based models (e.g., Gemini), and Anthropic-based models to support financial services applications.

• Collaborate with cross-functional teams to integrate Gen-AI solutions into financial platforms, ensuring alignment with business needs.

• Ensure scalability, security, and performance of cloud-based Gen-AI infrastructure.

• Mentor junior engineers and contribute to technical strategy for Gen-AI initiatives.

• Understanding of industry best practices and new technologies, influencing and contributing as part of the technology team to meet deliverables and work on new initiatives.

• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals.

• Build and Enable cloud infrastructure, automate the orchestration of the entire GCP/Azure Cloud Platforms for Wells Fargo Enterprise.

• Working in a globally distributed team to provide innovative and robust Cloud centric solutions.

• Closely working with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations.

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 3+ years working with GCP and a proven track record of building complex infrastructure programmatically with IaC tools.

• Having at least 2+ years of experience in Azure Cloud delivering Enterprise production grade services and solutions is a huge plus.

• Must have 2+ years of hands-on experience with Infrastructure as Code tool Terraform and GitHub.

• Must have professional cloud certification on GCP and or Azure

• Infrastructure and automation technologies: Orchestration, Harness, Terraform, API development, Test Driven Development

• Sound knowledge on the following areas with an expertise on one of them -

• Should have a good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to cloud security, AD, authentication methods, RBAC.

• Proficient and have a thorough understanding of Cloud service offerings on Data, Analytics, AI/ML. Exposure to Analytics AIML services like BigQuery, Vertex AI, Azure AI, OpenAI, Azure Machine Learning etc.
• Proficient with GCP services like Vertex AI Suite , Agent Builder, Vector Search,DialogFlow,Workbench etc
• Proficient with GCP Predictive AI services ML Pipelines, Model serving
• Proficient with GCP Generative AI services , LLMs ,RAG , Reasoning engine,Valuation etc
• Thorough understanding and handson for GCP Agent space NotebookLM
• Proficient and have a thorough understanding of Cloud service offerings on Security, Data Protection and Security policy implementation
• Thorough understanding of landing zone and networking, Security best practices, Monitoring and logging, Risk and controls.
• Experience working in Agile environment and product backlog grooming against ongoing engineering work
• Enterprise Change Management and change control, experience working within procedural and process driven environment

Desired Qualifications:

• Deep expertise in GenAI, agentic frameworks, A2A protocols, and MCP, with hands-on experience in LLMs (e.g., GPT-4, Google Gemini, Anthropic Claude).

• Advanced proficiency in writing Terraform code and modules for infrastructure as code on GCP, Azure with a focus on production deployment.

• Should have exposure to Cloud governance and logging/monitoring tools.

• Experience with Agile, CI/CD, DevOps concepts and SRE principles.

• Experience in scripting (Shell, Python, Go)

• Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences

• Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure.
• Delivery focus and willingness to work in a fast-paced, enterprise environment.

Posting End Date:
31 Jul 2025
*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.