Lead Software Engineer - Python/Gen AI/RAG

Posted 7 Hours Ago
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Hyderabad, Telangana, IND
Hybrid
Senior level
Fintech • Financial Services
Wells Fargo: Tech-powered. Innovation-led. We're transforming financial services.
The Role
Leads development of an enterprise agentic AI platform using Python, GenAI, RAG, and multi-agent orchestration. Designs deep agents, tool-calling protocols, configurable workflows, and integrations with enterprise systems. Builds scalable backend services, optimizes retrieval pipelines, and ensures production reliability through observability, resilience, security, containerization, and CI/CD. Collaborates with stakeholders, mentors engineers, and establishes engineering best practices for AI safety and agentic system design.
Summary Generated by Built In
Job Description
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 Qualifications:
  • 5 - 10+ years of overall software engineering experience, with strong hands-on Python expertise.
  • Proven experience building AI/Generative AI (GenAI) applications in production environments.
  • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures - embeddings, vector databases, chunking strategies, retrieval optimization.
  • Practical experience building Agentic AI systems - multi-agent orchestration, planning, tool-calling, memory management (e.g., LangChain, LangGraph, AutoGen, CrewAI, DeepAgents, or similar).
  • Experience designing low-code/configuration-driven frameworks or platforms for non-technical users.
  • Solid understanding of LLM integration patterns (prompt engineering, function/tool calling, streaming responses via SSE/WebSockets).
  • Strong API design skills using frameworks like FastAPI/Flask, with experience in asynchronous programming (asyncio).
  • Experience with structured logging, observability, and resilience patterns (circuit breakers, retries) in distributed systems.
  • Strong problem-solving skills and ability to work in a fast-paced, evolving AI product environment.
  • Good to Have
    • Experience with OpenShift/Kubernetes for container orchestration and platform deployment.
    • Familiarity with MongoDB or other NoSQL databases for state/checkpoint management.
    • Exposure to enterprise authentication/authorization patterns (AD/SSO, RBAC).
    • Experience with CI/CD tooling (GitHub Actions, Jenkins) and code quality tools (SonarQube).
    • Prior experience in financial services / capital markets domain.
    • Familiarity with MCP (Model Context Protocol) or similar tool-integration standards.
Job Expectations:
  • Architect and build a Valence (CIBX) agentic platform that allows business users to configure, deploy, and manage AI agents without deep technical expertise.
  • Design and develop deep agents capable of multi-step planning, tool use, memory, and autonomous task execution (e.g., using frameworks like LangGraph, DeepAgents SDK, or similar).
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines for grounding agent responses in enterprise knowledge bases and documents.
  • Integrate Generative AI / LLM capabilities (via internal or third-party model gateways) into scalable backend services.
  • Design orchestration layers for routing, planning, task execution, and result aggregation across multiple specialized agents.
  • Enable business teams to build agents for automation, analytics, insights, and predictive use cases with reusable templates and configuration-driven workflows.
  • Define and implement MCP (Model Context Protocol) or similar tool-calling protocols to connect agents with enterprise systems and APIs.
  • Ensure platform scalability, reliability, and observability (logging, monitoring, tracing) for production-grade agentic workloads.
  • Collaborate with product, architecture, and business stakeholders to translate BAU pain points into agent-driven automation solutions.
  • Mentor junior engineers and drive best practices in agentic system design, prompt engineering, and AI safety/guardrails.
  • Contribute to CI/CD pipelines, containerization, and deployment strategy for the platform.
Posting End Date:
25 Sep 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 experience, training, military experience, or education
  • Strong hands-on Python expertise
  • 5–10+ years of overall software engineering experience
  • Production experience building AI or Generative AI applications
  • Hands-on experience with RAG architectures, embeddings, vector databases, chunking, and retrieval optimization
  • Experience building agentic AI systems with multi-agent orchestration, planning, tool-calling, and memory management
  • Experience designing low-code or configuration-driven frameworks for non-technical users
  • Understanding of LLM integration patterns, prompt engineering, function/tool calling, and streaming responses
  • API design experience using FastAPI or Flask and asynchronous programming with asyncio
  • Experience with structured logging, observability, and resilience patterns in distributed systems
  • OpenShift or Kubernetes experience
  • MongoDB or other NoSQL database experience
  • Enterprise authentication and authorization experience, including AD, SSO, or RBAC
  • CI/CD tooling experience with GitHub Actions or Jenkins and code quality tools such as SonarQube
  • Financial services or capital markets experience
  • Familiarity with MCP or similar tool-integration standards

Wells Fargo Compensation & Benefits Highlights

  • Healthcare Strength Health coverage begins on day one with comprehensive medical, dental, and vision options, and the company subsidizes a substantial share of premiums for U.S. employees (varying by compensation band).
  • Retirement Support A robust 401(k) program includes an employer match for eligible employees, with specifics laid out in plan materials and filings.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for eligible primary caregivers, alongside fertility coverage, adoption/surrogacy reimbursement, and lactation support.

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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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