AI Quality Assurance Consultant

Infosys

Jersey City (NJ)

On-site

USD 95,000 - 125,000

Full time

5 hours ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Plan
Paid Holidays

Job summary

Infosys is recruiting for a Technology Consultant 2 to drive AI-enabled insurance solutions. You will contribute to requirements, design discussions, and coding efforts while ensuring software quality and stability across projects.

The role emphasizes AI/ML architecture, LangGraph/LangChain, and scalable microservices in a fast-paced environment. You will collaborate with cross-functional teams, implement test strategies, and develop training and support materials.

Qualifications

  • Experience in test consulting and automation.
  • Experience in AI/ML solution architecture for scalable enterprise systems.
  • Experience in agentic AI engineering workflow orchestration using LangGraph, LangChain, and LLMs.
  • Experience building reusable AI-ML engineering libraries and playbooks.
  • Experience in prompt engineering, RAG, and multi-agent systems.
  • Experience in Microservices, API-first design, and event-driven architecture.
  • Experience with Docker, Kubernetes, DevOps, and CI/CD.
  • Experience in software architecture, engineering transformation, and AI-driven engineering solutions.

Responsibilities

  • Contribute to requirements elicitation by documenting business requirements.
  • Facilitate design discussions and document design decisions for development teams.
  • Participate in coding and integrate new features while maintaining stability.
  • Conduct code reviews and maintain code repositories.
  • Implement test strategies, analyze results, and coordinate bug fixes.
  • Develop user training materials, documentation, and support frameworks.
  • Resolve production issues and suggest preventive strategies for reliability.
  • Maintain records of code, testing techniques, and support activities.

Skills

Test automation
AI/ML solution architecture
LangGraph LangChain
RAG multi-agent systems
Microservices API-first EDA
Docker Kubernetes DevOps CI/CD
Software architecture
End-to-end SDLC

Education

Bachelor's degree

Tools

Docker
Kubernetes

Job description

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.

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.
Required Skill And Experience
  • 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.
Preferred Skill And Experience
  • Should have 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.
Additional Required Qualifications
  • 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.
  • This position may require relocation and/or travel to work/project location.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Benefits
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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