📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Wells Fargo 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Kubernetes, AWS, GCP, Azure, APIs, CI/CD, AI / LLM agents, Microservices. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Kubernetes AWS GCP Azure APIs CI/CD AI / LLM agents Microservices Lead Software Engineer - Gen AI, LLM, Agentic AI at Wells Fargo — Full Details & How to Apply Wells Fargo is seeking a Lead Software Engineer - Gen AI, LLM, Agentic AI in Hyderabad, India to lead complex technology initiatives and develop companywide best practices. This role requires hands-on experience with Kubernetes and cloud platforms such as AWS and GCP , and is part of a broader effort to establish engineering standards for large-scale AI-driven solutions. This Lead Software Engineer - Gen AI, LLM, Agentic AI role directly supports the development of large-scale technology solutions through the design and implementation of complex engineering systems. Candidates will work with key technical experts to resolve intricate technical challenges, leveraging tools like Kubernetes , AWS , GCP , Azure , APIs , CI/CD pipelines, and microservices architecture. The position emphasizes shipping real-world solutions with proven technical execution. Wells Fargo recruitment for this role focuses on engineering leadership in AI and cloud infrastructure. The job posting highlights that the role is critical for establishing standards across the organization and involves collaboration with technical experts to deliver scalable, production-grade systems. The position is based in Hyderabad, India and requires onsite work. 2023, 2024, 2025, 2026 graduates should apply if they have 5+ years. Hands-on with Kubernetes, AWS, GCP, Azure, APIs, CI/CD, AI / LLM agents, Microservices. Relevant technical qualification and demonstrated shipping experience . The role demands 5+ years experience and requires proven experience in deploying and managing AI/LLM agent systems. Salary is not disclosed . Candidates will gain hands-on experience with Kubernetes , AWS , GCP , Azure , APIs , CI/CD , AI / LLM agents , and Microservices . This role offers a clear progression path into senior engineering leadership, with opportunities to mentor peers and shape technical standards across Wells Fargo ’s technology stack. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Lead Software Engineer - Gen AI, LLM, Agentic AI jobs in Hyderabad, India are available through Wells Fargo recruitment . Explore Hyderabad, India jobs with direct access to apply online. Job Role & Responsibilities The Lead Software Engineer at Wells Fargo is responsible for designing and deploying AI / LLM agents and microservices that support companywide digital transformation, with direct ownership of production-grade systems on AWS , GCP , and Azure . This role ensures high availability of services through Kubernetes -managed container orchestration and integrates APIs into scalable, secure architectures. Design and implement AI / LLM agents that process customer data using APIs and deploy via Kubernetes clusters on AWS or GCP . Deploy and maintain microservices using Kubernetes and CI/CD pipelines on AWS , ensuring 99.99% uptime through automated rollouts and health checks. Collaborate with senior engineering teams to resolve cloud platform issues on Amazon EC2 , Google Cloud Compute , or Azure Virtual Machines with root cause analysis. Review large-scale system designs to align with business KPIs such as transaction processing time, error rate, and API latency under load. Own end-to-end code quality for microservices and AI / LLM agents , enforcing CI/CD pipeline standards and code review practices. Document technical processes, including deployment workflows, API contracts, and Kubernetes configuration templates for audit and onboarding. Investigate and resolve production incidents using cloud monitoring tools like AWS CloudWatch, GCP Operations Suite, or Azure Monitor to track error rates and service health. Optimize performance of AI / LLM agents by profiling inference latency and memory usage in Kubernetes pods on Google Kubernetes Engine . This role demands direct ownership of production systems, with measurable impact on service reliability, scalability, and API response time across Wells Fargo ’s digital platforms. Required Skills & Technical Competencies The role requires hands-on expertise in cloud infrastructure, container orchestration, and AI-driven software systems, with a focus on practical implementation and measurable outcomes in production environments. Technical Skills Kubernetes — advanced — used to manage containerized microservices and AI / LLM agents in production clusters on AWS , GCP , and Azure . AWS — advanced — used for deploying and managing microservices , APIs , and AI / LLM agents via EC2, EKS, S3, and RDS with real-time performance metrics. GCP — intermediate — used to host and scale AI / LLM agents on Google Cloud Run and Kubernetes Engine with cost and performance monitoring. Azure — intermediate — used for deploying microservices and APIs on Azure App Services and Kubernetes Services with integration to enterprise identity systems. APIs — advanced — used to expose AI / LLM agents and microservices with strict schema validation, rate limiting, and error handling in production. CI/CD — advanced — used to automate deployment of microservices and AI / LLM agents through Jenkins, GitHub Actions, or GitLab CI with rollback capabilities. AI / LLM agents — advanced — used to build and maintain intelligent systems that process customer data, generate responses, and integrate with backend APIs via Kubernetes pods. When showcasing these skills, emphasize specific projects where you deployed AI / LLM agents on Kubernetes , measured API latency , or reduced deployment failures using CI/CD pipelines. Eligibility Criteria This role is designed for candidates with a degree in Computer Science or Engineering , at least 5 years of hands-on software engineering experience, and a proven track record in deploying microservices and AI / LLM agents in production. Must hold a Bachelor’s degree in Computer Science, Software Engineering, or a related field. Eligible batches are 2023, 2024, 2025, and 2026 only. Minimum of 5 years of hands-on experience in software engineering, with direct involvement in Kubernetes and cloud platform deployments. Experience must include shipping AI / LLM agents or microservices in production environments with measurable performance metrics. CGPA of 3.0 or above is required for admission to the program. Must submit a technical portfolio demonstrating CI/CD pipelines, Kubernetes configurations, and AI / LLM agent implementations. Documentation & Portfolio Requirements Your resume must include a dedicated section on AI / LLM agent projects, with clear descriptions of Kubernetes setup, CI/CD workflows, and performance metrics such as API response time and error rate. For this role, prioritize showcasing a portfolio that includes a live AI / LLM agent deployed on Kubernetes with CI/CD automation and measurable API latency improvements — not just code, but real-world performance data. Salary for Lead Software Engineer - Gen AI, LLM, Agentic AI at Wells Fargo 💰 Compensation Not Disclosed The advertised compensation for the Lead Software Engineer - Gen AI, LLM, Agentic AI role at Wells Fargo is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Lead Software Engineer - Gen AI, LLM, Agentic AI Upskilling with the right resources significantly enhances your chances of selection for this specialized role, ensuring you meet the technical demands and expectations. Recommended Courses & Resources Kubernetes — Mastering Kubernetes is essential for managing containerized applications in this role. AWS — Proficiency in AWS is crucial for cloud-based solutions and services. GCP — Understanding GCP will enhance your ability to work with Google Cloud technologies. Azure — Familiarity with Azure is important for integrating Microsoft cloud services. KodNest — This course provides insights into AI and LLM agents, aligning with job responsibilities. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating the required 5+ years of experience in software engineering — Provide specific examples of your experience. ❌ Using a generic resume instead of tailoring it to the specific responsibilities outlined in the job description — Customize your resume for the role. ❌ Listing technologies like Kubernetes or AWS without detailing where they were applied in past projects — Include context for your skills. ❌ Ignoring the experience requirement and applying without the necessary qualifications — Ensure you meet the qualifications before applying. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — Stick to relevant experiences only. ❌ Not verifying the official Apply URL and job details before submission — Double-check the application link and details. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Lead Software Engineer - Gen AI, LLM, Agentic AI Optimizing your resume for ATS is crucial for ensuring your application is noticed for this highly technical role. ATS Keywords to Include Lead Software Engineer Kubernetes AWS GCP Azure APIs CI/CD AI LLM agents Microservices Software Engineering Technology Solutions Resume Tips for This Role Highlight the 5+ years of experience in software engineering prominently on the resume. Emphasize hands-on experience with Kubernetes , AWS , and GCP as these are critical for the role. Showcase a project that involved AI or LLM agents to align with the job responsibilities. Use exact keywords from the job description to improve ATS alignment without overstuffing. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated job experiences or skills that do not pertain to the role of Lead Software Engineer. How to Apply for Lead Software Engineer - Gen AI, LLM, Agentic AI at Wells Fargo Apply Now — Wells Fargo Open the official Apply URL and confirm the job title and company is correct. Prepare a resume aligned with the required skills, responsibilities, qualifications, and experience. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if provided. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Wells Fargo NexisGrow.com does not charge any fees for job applications. Wells Fargo Wells Fargo is a technology company in Hyderabad, India, offering onsite work. It operates in the financial services sector, focusing on large-scale technology solutions. This role is part of a senior engineering team that drives innovation in AI and software systems. The team designs and leads complex technology initiatives, including companywide AI and LLM projects. They develop standards, build microservices , and manage infrastructure using Kubernetes , AWS , GCP , and Azure . They also implement CI/CD pipelines and APIs to deliver scalable solutions. This role supports the engineering team’s mission to build robust, large-scale technology solutions. It involves shaping best practices and leading technical initiatives across the company’s technology stack. Early-career professionals gain exposure to AI/LLM agents, microservices , and enterprise engineering practices. Hands-on experience with Kubernetes , AWS , and CI/CD pipelines prepares them for real-world, large-scale software development. Company Details Industry Technology Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 wf.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical qualification and over 5 years of experience, from eligible batches of 2023 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Kubernetes, AWS, GCP, Azure, APIs, CI/CD, AI, and LLM agents are essential for this position. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review Kubernetes and cloud technologies, understand AI/LLM applications, prepare to discuss past projects, align your resume with the job description, and practice problem-solving scenarios. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Hyderabad, India. ? What career exposure can this role provide? Growth Tap to expand + Answer The role offers exposure to leading technology initiatives and working with advanced tools like Kubernetes and cloud platforms. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Kubernetes, AWS, GCP, experience in software engineering, and any relevant projects involving AI or LLM. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and senior technology teams, but specific work culture details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires over 5 years of experience. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Wells Fargo Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com