About this role:

Wells Fargo is seeking a Senior Software Engineer.

Wells Fargo is seeking a Senior Software Engineer for the development of Artificial Intelligence (AI) enabled applications in Commercial Lending area. The successful candidate will be able to build and maintain reliable, secure, and scalable AI solutions for business-critical application.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical domain environments

• Contribute to large scale planning of strategies

• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

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

Desired Qualifications:

• We are seeking a Senior Python Developer with a strong background in building scalable, resilient, and highly available microservices Gen AI enabled application. The candidate should have good experience in developing microservices based enterprise application, event-driven app, and using NoSQL DB - MongoDB. Team member will work with Wells Fargo India and onshore partners and implement the required solutions.

• Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, and safety guardrails.

• Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation.

• Design, code, test, and document solutions that align with business goals.

• Collaborate and consult with key technical experts and technology teams to resolve complex technical issues and achieve goals.

• Participate effectively in the entire software development life cycle.

• Responsible for application development, maintenance, and security requirements

• Collaborate with US partners for requirement understanding and solution discussions.

• Collaborate with Product Team, Scrum Master, Developers, QA and any other stakeholders as needed.

• Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development.

• (Technical Skills):

• 7+ years’ experience in backend application software development, with strong programming experience on Python and NoSQL database MongoDB

• Strong software development skills in Python, with experience working on Agentic AI frameworks(any one of Google ADK (preferably) Lang chain, Langgraph) and tools in cloud environments. Proficiency in designing and developing multi-agent systems with one of the listed frameworks where multiple AI agents collaborate to achieve complex tasks.

• Experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility.

• In depth experience of python framework and tools such as Num Py, Pandas, py Mongo.

• Design, develop, and deploy microservices components using Python; build backend services using FastAPI.

• Design and implement secure REST APIs for consumption by a React application. Consume services provided by interface systems.

• Implement event-driven architecture and use messaging queues such as Kafka, RabbitMQ or ActiveMQ for asynchronous processing.

• Experience on Model Context Protocol (MCP) servers and clients to expose internal services, APIs, and data stores to LLMs in secure way.

• Write complex MongoDB queries and perform data aggregation.

• Experience with MongoDB for database management and data retrieval.

• Understanding of Cloud principles and experience on developing applications hosted on cloud environment. Experience with OCP (Open Shift Container Platform) is preferred.

• Experience with CI/CD technologies such as GitHub, GitHub Actions, Harness, Artifactory, Sonar, open shift/Kubernetes, Docker etc.

• Experience on automated unit testing framework Pytest, magicmock

• Knowledge of ML, NLP, GCP Services particularly Document AI, Information Retrieval, Summarization and LLMs.

• Experience on agile software development lifecycle.

• Understanding of high availability, scalability, and resilience in software systems

• Ensure efficient multithreading and concurrency in backend processes.

• Non-Technical:

• Capable of reasoning and thinking through problems and developing desired solutions, independently or with others as required.

• Capable of mentoring team members on solution design and implementation

• Strong problem-solving and analytical skills

• Good written and verbal communication

• Ability to understand team dynamics and use interpersonal skills and personal judgment to achieve goals.

• Desired / Good to have Skills:

Understanding of Banking/Lending domain.

Posting End Date:

19 Apr 2026

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.