Lead Software Engineer
Wells Fargo is hiring a Lead Software Engineer in Hyderabad, India. Level rates it ; you can apply on Level.
AI in this role
Lead software engineering initiatives designing enterprise agentic AI platforms, RAG solutions, and multi-agent LLM systems.
About this role:
Wells Fargo is seeking a Lead Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow.
In this role, you will:
- Lead complex technology initiatives including those that are companywide with broad impact
- Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
- Design, code, test, debug, and document for projects and programs
- Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
- Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
- Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
- Lead projects, teams, or serve as a peer mentor
Required Qualifications:
- 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Design, develop, and maintain Java 17+ Spring Boot microservices following Clean Architecture and Domain-Driven Design (DDD) principles.
- Implement and optimize RESTful APIs, ensuring compliance with enterprise SDLC, security, and data governance standards.
- Experience designing and implementing Agentic AI platforms, RAG solutions, orchestration frameworks, and multi-agent systems.
- Experience with multi-model LLM strategies, including Gemini, Claude, OpenAI, and proprietary enterprise models.
- Experience with event-driven architecture, Kafka, streaming platforms, and asynchronous integration patterns.
- Experience with cloud-native platforms and modern application deployment architectures.
- Experience using or integrating AI-assisted development tools such as GitHub Copilot, Devin, Cursor, or similar platforms
- Experience in the Mortgage domain, including origination, underwriting, servicing, document processing, or default management.
Desired Qualifications:
- Understanding of AI model governance, explainability, validation, security, and risk management in regulated environments.
- Strong understanding of observability tools, production monitoring, resiliency engineering, and platform reliability.
- Exposure to event streaming (Kafka), cloud-native patterns, and DevSecOps.
- Knowledge of workflow automation, intelligent document processing, decision engines, and AI-driven business process optimization.
- Prior experience leading cross-functional engineering teams and contributing to enterprise architecture initiatives.
Job Expectations:
- Serve as the technical authority for assigned products and platforms.
- Drive engineering excellence through architecture governance, code quality standards, and operational best practices.
- Mentor senior and junior engineers while building high-performing technical teams.
- Influence strategic technology decisions and help define the organization's AI engineering vision.
- Foster a culture of innovation, accountability, collaboration, and continuous learning.
Posting End Date:
19 Oct 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.
How we rate this
Lead Software Engineer at Wells Fargo rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Software Engineering, Agentic AI, Microservices, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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