Senior Software Engineer - Gen AI

Posted Yesterday
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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 software engineering initiatives focused on generative AI. Designs, codes, tests, debugs, documents, and deploys complex technology solutions while guiding less experienced engineers. Develops AI and machine learning applications, including RAG pipelines, model training, tuning, microservices, cloud infrastructure, integrations, CI/CD, observability, and DevOps practices. Collaborates with technical stakeholders, resolves complex issues, supports enterprise risk and compliance requirements, and evaluates emerging technologies through proofs of concept.
Summary Generated by Built In
About this role: Wells Fargo is seeking a Senior Software Engineer - Gen AI In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Proficiency in Python, Java Script, AJAX, jQuery, Angular/React knowledge & AI frameworks (like: LangChain, LangGraph Experience with ML libraries and frameworks like: TensorFlow, PyTorch. Hands on experience in building or training models, tuning hyperparameters. Experience in Generative AI technologies like Retrieval-Augmented Generation (RAG) - end-to-end pipelines (Vector DBs, chunking, embedding, retrieval, context injection) to ground LLM responses on enterprise. Deep understanding of microservice based distributed architecture, cloud platforms (AWS, Azure & GCP), and infrastructure-as-code. Strong background in Data Science and Analysis: Ability to process, clean and analyse data using statistical techniques to derive actionable insights. Knowledge of data processing tools like Hadoop, Spark Ability to deal in solving complex problems with ambiguous requirements, spot emerging tech trends and drive Proof of concepts or pilot solutions Well versed in Agile development strategies and ceremonies, Test Driven Development & DevOps practices. Experience in leveraging Rest/SOAP Web-APIs for integrations. Experience in using enterprise-wide tooling for CICD: Harness, Jenkins. Expertise in enterprise tools like: Ansible & observability tools (e.g., Prometheus, Grafana, ELK, Datadog), Incident Management tools like Service Now. Self-motivated with genuine curiosity to stay ahead of the curve by engaging in continuous learning through courses, certifications and research papers. Posting End Date: 29 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

  • 4+ years of software engineering experience, or equivalent experience through work, training, military experience, or education.
  • Proficiency in Python.
  • Experience with JavaScript, AJAX, jQuery, Angular, or React.
  • Experience with AI frameworks such as LangChain or LangGraph.
  • Experience with machine learning libraries and frameworks such as TensorFlow or PyTorch.
  • Hands-on experience building or training models and tuning hyperparameters.
  • Experience building end-to-end Generative AI and Retrieval-Augmented Generation pipelines.
  • Understanding of vector databases, chunking, embeddings, retrieval, and context injection.
  • Understanding of microservice-based distributed architecture, cloud platforms, and infrastructure as code.
  • Background in data science and analysis, including statistical data processing and analysis.
  • Knowledge of Hadoop or Spark.
  • Experience with Agile development, Test-Driven Development, and DevOps practices.
  • Experience using REST or SOAP web APIs for integrations.
  • Experience with enterprise CI/CD tools such as Harness or Jenkins.
  • Experience with Ansible, observability tools, and incident management tools such as ServiceNow.
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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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