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.





Robust 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.

Solid 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 robust 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.

📌 Lead AI engineer (Serilingampalle (M))
🏢 Wells Fargo
📍 Serilingampalle (M)