AI Engineer

Wipro Limited is seeking a Senior AI Engineer to lead AI-focused workflows across the System Development Life Cycle, combining hands-on GenAI development with production deployment experience in complex, financial-domain environments that support retirement security.

Role Overview

This position focuses on building intelligent systems and AI-enabled workflows that operate across implementation, testing, and operational support. The role requires practical use of GenAI coding assistants in day-to-day engineering workflows, with clear ownership for correctness and quality, and the ability to apply engineering judgment in validation.

Key Responsibilities

• Lead AI-focused workflows across the System Development Life Cycle.
• Build intelligent systems that directly impact millions of people’s retirement security.

Required Skills and 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 or automation, troubleshooting, and documentation), applying engineering judgment and validation.
• Practical familiarity with tools such as GitHub Copilot or Claude Code.
• Use AI assistance for common development tasks (code suggestions, test generation, review support, automation scripts, and troubleshooting) with clear ownership for correctness and quality.
• Apply GenAI to reduce context switching and accelerate delivery across typical engineering workflows, including but not limited to new code creation.
• Practical familiarity with GitHub Copilot and/or Claude Code in IDE or 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, including establishing team-level practices for effective AI-assisted development.
• Bachelor’s degree in computer science, Software Engineering, or a related technical field, or equivalent practical experience.
• Hands-on experience in software engineering delivering large-scale systems 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.
• Hands-on experience with containers and microservices in the cloud.
• Hands-on experience with cloud deployment within a continuous integration and continuous delivery model (CI/CD).
• Hands-on experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
• Hands-on experience with databases including MongoDB, Aerospike, and/or PostgreSQL.
• Experience in IT transformations and system modernization initiatives from legacy to distributed platforms (for example, Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB).
• Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM).
• Understanding of broker-dealer capabilities and operations.
• Excellent communication skills with proven ability to communicate and lead other engineers in a collaborative environment.
• Collaborative mindset with a bias for action to engage with developers, architects, and adjacent teams.
• AI ML Solution Architecting.

Technologies

• GenAI coding assistants
• GitHub Copilot, Claude Code
• Agentic workflows
• Java, Spring framework
• Cloud development, Web Services
• AI/ML
• Containers, microservices
• CI/CD
• Pivotal Cloud Foundry (PCF)
• AWS, GCP
• MongoDB, Aerospike, PostgreSQL
• Mainframe Cobol, DB2
• Large Language Models (GPT-5, Claude, Gemini, PaLM)

Experience Level

• Experience range: 5-8 years
• Minimum experience: 5 years

Education

• Bachelor’s degree in computer science, Software Engineering, or related technical field, or equivalent practical experience

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 the Financial Services industry
• Experience in Test Driven Development (TDD), QA Automation, and quality mindset and behaviors
• Proficient in developing Visio diagrams, architectural and design documentation, functional and technical specifications, and automated test process
• Willingness to learn all aspects of the tech stack and document work
• 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)

Domain Expertise

• Understanding of broker-dealer capabilities and operations

Location and Work Setup

Austin, Texas (onsite)

Compensation

USD 60,000 - 135,000 per yearly

Benefits

• Full range of medical and dental benefits options
• Disability insurance
• Paid time off (inclusive of sick leave)
• Other paid and unpaid leave options