Lead Software Engineer - Python, GEN AI, Agentic AI

Posted An Hour Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Leads complex software and data engineering initiatives involving application modernization, platform integration, reusable accelerators, large-scale data pipelines, streaming systems, and agentic AI. Designs, codes, tests, documents, and reviews enterprise technology solutions. Develops RAG and multi-agent architectures, establishes engineering standards, mentors teams, resolves complex technical issues, and collaborates with senior stakeholders while driving quality, accountability, and delivery.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Lead Software Engineer (Data Engineer) who will bring technical leadership in application modernization, platform integration, and reusable accelerator development, enabling parallel execution across committed delivery streams.
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 Qualifications:
  • 5+ years of Data Engineering experience
  • Strong experience with RDBMS technologies (Preferred: SQL Server)
  • Advanced coding skills in Python and PySpark
  • Compute Engine: Apache Spark, PySpark
  • Data Layer: Lakehouse/Objectstore, Iceberg/Delta, SQL
  • Streaming: Kafka
  • Agentic AI: LangGraph, LangChain, A2A (Good to Have)
  • Experience designing and optimizing large-scale data pipelines
  • Experience with streaming and caching technologies such as Kafka and Redis
  • Exposure to reporting and visualization tools (Power BI, Tableau)
  • Experience working in Agile/Scrum environments
  • Strong problem-solving, communication, and leadership skills

Behavioral & Leadership Expectations
  • Acts as a technical role model for the team
  • Drive accountability, quality, and engineering discipline
  • Demonstrate strong ownership and decision-making capability
  • Effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Job Expectations:
  • Proven experience designing and implementing Retrieval-Augmented Generation (RAG) architectures using vector databases and retrieval frameworks.
  • Experience building agentic AI or multi-agent orchestration systems.
  • Solid understanding of distributed systems, APIs, and microservices architecture.

Posting End Date:
28 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.

Skills Required

  • 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
  • 5+ years of Data Engineering experience.
  • Strong experience with RDBMS technologies, preferably SQL Server.
  • Advanced coding skills in Python and PySpark.
  • Experience with Apache Spark and PySpark.
  • Experience with lakehouse or object storage, Iceberg or Delta, and SQL.
  • Experience with Kafka and streaming technologies.
  • Experience with LangGraph, LangChain, and A2A.
  • Experience designing and optimizing large-scale data pipelines.
  • Experience with caching technologies such as Redis.
  • Exposure to Power BI or Tableau.
  • Experience working in Agile or Scrum environments.
  • Experience designing and implementing Retrieval-Augmented Generation architectures using vector databases and retrieval frameworks.
  • Experience building agentic AI or multi-agent orchestration systems.
  • Solid understanding of distributed systems, APIs, and microservices architecture.
  • Strong problem-solving, communication, and leadership skills.
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The Company
HQ: San Francisco, CA
205,000 Employees
Year Founded: 1852

What We Do

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.

Why Work With Us

We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”

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