Lead AI engineer

About this role: Wells Fargo is seeking a Lead Software Engineer 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 Desired Qualification : Expert-level Python programming skills, including: Object-Oriented Programming (OOP) Design Patterns Multithreading and Asynchronous Programming API Development (FastAPI, Flask) Scripting and Automation Performance Optimization and Debugging Strong experience in Data Engineering and Data Processing, including: Building scalable data pipelines ETL/ELT development Data transformation and enrichment Structured and unstructured data processing Data ingestion frameworks and orchestration Experience with Spark, Pandas, and distributed data processing frameworks CI-CD deployments Agile principles Hands-on experience building production-ready Generative AI and LLM-based solutions.

Strong expertise in: GPT Models and Enterprise LLMs LangChain LangGraph Retrieval-Augmented Generation (RAG) Agentic AI and Multi-Agent Systems Prompt Engineering Embedding Models Vector Search and Semantic Retrieval Experience building enterprise AI applications such as: AI Assistants and Copilots Intelligent Chatbots Knowledge Retrieval Platforms AI-Powered Automation Solutions Document Intelligence Systems Hands-on experience with vector databases and search technologies such as Pinecone, OpenSearch, FAISS, ChromaDB, or equivalent platforms.

Strong understanding of NLP, information retrieval, semantic search, and knowledge management systems. Experience designing and implementing REST APIs, microservices, and cloud-native applications. Strong experience with cloud platforms such as GCP, including AI/ML services and scalable deployment architectures.

Experience with database technologies including SQL, NoSQL, Graph Databases (Neo4j), and data modeling. Strong understanding of software engineering best practices, including CI/CD, testing, code reviews, security, observability, and DevOps practices.

Critical Must-Have Skills Python Development & Scripting Data Engineering & ETL Pipelines Generative AI & Large Language Models (LLMs) Agentic AI & Multi-Agent Architectures LangChain & LangGraph Retrieval-Augmented Generation (RAG) Semantic Search & Knowledge Retrieval Vector Databases (Pinecone, OpenSearch, FAISS) API Development & Microservices Neo4j & Knowledge Graphs Databricks / Spark Enterprise AI Solution Design AI/LLMOps & Production Deployments Posting End Date: 3 Aug 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.