About this role:

Wells Fargo is an impact-driven, Fortune Top 50 company that touches virtually every aspect of Financial Services. We are known for delivering insights, high quality products, and services that make Banking more accessible and understandable. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of Financial Services for our internal and external clients, our communities, and our people. If you want to be part of tomorrow’s Financial Services today, we want to hear from you.

The Lead Software Engineer – AI & Intelligent Document Processing will drive the design and implementation of advanced AI solutions that enhance document understanding and agreement intelligence. This role requires hands-on expertise with DocuSign Insight, Flowable, and Logic Apps, as well as experience developing NLP extraction models, GATE rules, and user-defined machine learning models. The engineer will lead the development of scalable AI pipelines, integrating prompt engineering, retrieval-augmented generation (RAG), and continuous learning to support intelligent automation across the enterprise.

With strong programming skills in Python and deep knowledge of ML frameworks like PyTorch and TensorFlow, the engineer will build and deploy AI applications using cloud platforms such as Azure or GCP. Familiarity with vector databases (e.g., Pinecone, Weaviate), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines is essential. This role also involves evaluating and integrating generative AI tools like LangChain, AutoGen, and Crew AI to deliver innovative, production-ready solutions that transform how agreements and documents are processed at scale.

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

• 2+ years of experience with DocuSign Insight application to implement NLP extraction models, Discovery rules and User Defined Machine learning models

• 2+ years of Flowable applications and DocuSign Logic apps experience

• 1+ years of experience with Deep Learning, Natural Language Processing (NLP), Generative AI and Large Language Models (LLM) and also tools like Lang Chain/Auto Gen/Crew AI

Desired Qualifications:

• Experience with GATE rules (General Architecture of Text Engineering) for text extraction

• Knowledge of DocuSign Navigator, Intelligent Agreement Management (IAM)

• Experience to decide whether to use pre-trained models, fine-tuned models or build custom models

• Experience with fine tuning techniques like Quantization, LoRA, QLoRA

• Experience in Prompt engineering strategies to optimize the quality and relevance of Gen AI outputs

• Build and manage pipelines for model training, Prompt engineering, retrieval-augmented generation (RAG) and continuous learning

• Programming skills in Python for AI development and ML frameworks (PyTorch/TensorFlow)

• Good understanding of Transformer based models, attention mechanisms and tokenization

• Knowledge of Vector databases like pinecone, Weaviate

• Good to have experience in building, deploying and integrating AI Agents on Azure or GCP

• Experience with Cloud platforms (Azure or Google Cloud Platform (GCP))

• Experience in CI/CD pipelines

• Proficient with Containerization tools (Docker) and Orchestration platform (Kubernetes)

Job Expectations:

• Be Humble: You're smart yet always interested in learning from others.

• Work Transparently: You always deal in an honest, direct, and transparent way.

• Take Ownership: You embrace responsibility and find joy in having the answers.

• Learn More: You regularly self-educate and improve your skill set.

• Show Gratitude: You show appreciation and respect to those you work with.

Pay range for this role in CA is between $133,300 and $237,100

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

Posting End Date:

*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.

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.