AI Quality Assurance Consultant

Infosys•Jersey City, NJ

About The Position

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: * Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided * Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions * Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability * Conduct code reviews, do changes to the codebase and maintain code repositories * Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards * Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications * Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability * Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: * A collaborative spirit and excellent communication skills. * The ability to handle end to end SDLC phases from requirement gathering to implementation. * A knack for translating complex requirements into actionable development tasks. * A passion for design and hands-on coding experience * A proactive approach to testing, troubleshooting, and refining our applications. * The ability to work with cross-functional teams and do software integration. Overview: The Infosys Insurance unit is dedicated to transforming the insurance industry through innovative digital solutions powered by advanced AI technologies. We blend our industry-leading expertise in consulting and technology to help clients solve complex business problems and unveil hidden value. By integrating AI-driven insights, we enhance our ability to link strategy to execution, leverage cross-industry experience, and accelerate speed to market, ensuring we stay ahead of technological advancements and deliver the best to our clients. Join us to be part of a dynamic team that drives innovation, operational efficiency, and sustainable growth in the insurance sector. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of insurance. If you're passionate about AI and eager to make a significant impact, the Infosys Insurance unit is the perfect place for you to grow and excel.

Requirements

Experience in test consulting and automation.
Experience in AI/ML Solution Architecture design to create scalable, enterprise-grade AI systems by selecting optimal models (like LLMs or traditional ML), define data pipelines, and ensure seamless integration with existing cloud infrastructure and governance frameworks.
Experience in agentic AI engineering workflow orchestration using LangGraph, LangChain, and Large Language Models (LLMs).
Experience in building reusable reference implementations, libraries, and playbooks for AI-ML augmented engineering.
Experience in prompt engineering, solution architecture and design, as well as Retrieval-Augmented Generation (RAG), and multi-agent systems.
Experience in Microservices, API-First Design, and Event-Driven Architecture.
Experience of Docker, Kubernetes, DevOps, and CI/CD.
Experience of software architecture, engineering transformation, and AI-driven engineering solutions.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.

Nice To Haves

Property & Casualty (P&C) insurance domain experience.
Experience in test automation framework.
Experience in AI observability and monitoring frameworks.
Experience in automated documentation and release management solutions.
Experience in engineering governance, standards, and AI-first operating models.
Experience of technical consulting and stakeholder management.
Experience of building test automation reusable frameworks, accelerators and reference architecture developments.

Responsibilities

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, do changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects