Senior AI Developer

About the role

Job Description

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)

Mandatory Skills: AI ML Solution Architecting .

Experience: 5-8 Years

The expected compensation for this role ranges from $60,000 to $135,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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