AI Engineer
On-site
Austin, United States
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
As a Senior AI Developer, this role will be a leader in AI focused workflows across the System Development Life Cycle. You’ll work at the intersection of cutting-edge AI technology and complex financial domains, building intelligent systems that directly impact millions of people’s retirement security.
Required Qualifications
- Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected.
- Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
- Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.
- Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
- Education: Bachelor’s degree in computer science, Software Engineering, or related technical field, or equivalent practical experience
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Experience:
- Handson Experience in software engineering experience in actively developing large scale software using: Java, Spring framework, cloud development, and Web Services supporting high volume transactions in a highly available environment.
- Hands-on experience with AI/ML implementation and production deployment
- Hans on experience working with containers and microservices in the cloud.
- Hands on experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD).
- Hands on experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
- Hands on experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
- Experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB
- Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)
- Domain Expertise: Understanding of broker-dealer capabilities and operations.
- Communication: Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment
- Execution Focus: Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, Architects, and adjacent teams, etc
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Preferred Qualifications:
- Master’s degree in Information Technology, Computer Science, related degree, OR related practical experience
- Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent)
- Experience in Financial Services industry
- Experience in Test Driven Development, QA Automation and Quality mindset and behaviors
- Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, automated test process
- Willingness to learn all aspects of tech stack and document
- Ability to research and document production and test environments along with architecture and design work
- Knowledge of Agile methodology and experience in an Agile working environment
- Experience with the Atlassian tool stack (JIRA and Confluence)
Source: the employer's careers page. Last checked 2026-10-10. Posted 2026-10-10.
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