QA Engineer - AI

Our client is a global law firm and recognized leader in AI and legal innovation, leveraging artificial intelligence to enhance legal services, improve client outcomes, and drive operational efficiency. AI is embedded throughout the firm in a secure, responsible, and human-centered manner, serving to augment expertise rather than replace it. The firm advises many of the world's leading technology companies on AI, data privacy, model governance, and commercialization matters, and has invested heavily in AI-powered products, tools, and platforms that deliver tangible business value. Their commitment to innovation has positioned them at the forefront of AI adoption within the legal industry.

Our client is building a new AI-focused software development organization responsible for developing a portfolio of internal applications, including AI-powered products and agents, financial and business applications, internal generative AI platforms, and cloud-native solutions hosted in AWS. Development is organized into small, highly collaborative cross-functional pods consisting of Principal Engineers/Architects, Software Developers, Product Managers, and dedicated QA Engineers. A key aspect of the model is that QA is embedded directly within each development pod, partnering closely with engineering and product teams throughout the software lifecycle rather than operating as a centralized testing function. The organization is focused on delivering scalable, AI-enabled solutions while fostering strong collaboration, shared ownership of quality, and rapid innovation. They are building the next generation of custom agentic applications to support "the business of law" services through the responsible use of artificial intelligence.

We are seeking strong QA Engineers to join the development pods, focused on end to end testing but more heavily weighted to backend. The Senior Quality Assurance Engineers contribute to the delivery of our client's AI-enabled software development initiatives by ensuring software quality, reliability, and production readiness across web, cloud, and enterprise applications. These engineers will be responsible for end to end testing, lead testing strategy, test planning, execution, defect management, and release validation activities while working closely with Product Owners and Software Developers within Agile delivery pods. The role combines traditional quality engineering practices with modern automation and AI-assisted testing approaches to improve software quality and delivery outcomes.
Key Responsibilities:
· End-to-end QA lifecycle ownership
· Functional, regression, integration, and API testing
· Test automation frameworks
· Azure DevOps, Jira, and Agile/Scrum experience
· CI/CD and release validation
· Cloud application testing
· AI-assisted testing and exposure to AI applications
· Design, develop, and execute comprehensive test strategies, test plans, and test cases for software development initiatives.
· Perform functional, regression, integration, and end-to-end testing across applications and platforms.
· Identify, document, track, and validate defects while partnering with development teams to drive resolution.
· Collaborate closely with Product Owners and Developers to ensure requirements are testable and acceptance criteria are clearly defined.
· Support release readiness reviews, deployment validation, and production support activities.
· Produce quality metrics, test execution reports, defect trend analysis, and delivery quality insights.
· Participate actively in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives.
· Leverage automation and AI-assisted testing tools to improve testing efficiency and coverage.
· Lead quality best practices, mentor team members, and drive continuous improvement initiatives across delivery teams.

The Engineers will work within Agile development pods supported by DevOps, SRE, Enterprise Architecture, and Product teams. The environment operates like a startup backed by a $2.5B global law firm, providing the opportunity to build enterprise-scale AI products with real business impact. The client has a robust AI strategy in place and hundreds of use cases they need to address, for example one of the team's initiatives is to create an AI-powered billing compliance platform designed to address approximately 6% revenue leakage by analyzing billing records, contract guidelines, and unstructured data to identify inefficiencies and provide actionable insights through a conversational AI interface. This is not an AI research role. It is a software engineering role focused on building and deploying real-world AI applications in AWS using modern engineering best practices.

This opportunity is a yearlong contract with long-term extensions and ability to convert fulltime. The role can sit fully remote, but preferred to be by an office location: Boston MA, NYC, Palo Alto CA, Chicago IL, Denver CO, LA, Miami FL, Reston VA, San Diego CA, San Francisco CA, Santa Monica CA, Seattle WA, or Washington DC. There is a chance of conversion to full-time down the line and require 4x a month onsite, for rare occasions fully remote may be approved.

Key Responsibilities

Compensation:
$60/hr to $70/hr.
Exact compensation may vary based on several factors, including location, skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

- 8–10+ years of experience in QA Engineer (focused on web apps, APIs, Cloud-based solutions)
- Backend and infrastructure testing
- Strong with Automation Testing (Cypress, Playwright, Selenium, REST Assured, etc)
- Experience testing AI-powered applications, generative AI solutions, LLM-based products, chatbots, copilots, or Retrieval-Augmented Generation (RAG) applications.
- Strong experience with test planning, test case design, defect management, regression testing, and release validation.
- Familiarity with Azure DevOps, Jira, or similar Agile delivery and defect tracking platforms.
- Understanding of CI/CD pipelines and quality gates within software delivery processes.
- Experience supporting Agile / Scrum teams in fast-paced product development environments.
- Experience utilizing AI-assisted testing tools and modern quality engineering practices is highly desirable.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

- Legal industry background
- Proven ability to lead quality initiatives, establish testing standards, and mentor other QA professionals.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.