Department: Development

Location:
Hyderabad Description Infor's AI Studio represents an agentic platform that enables teams to author, configure, and deploy Infor OS and ERP solutions utilizing natural language processing capabilities. We are seeking an Lead Quality Assurance Engineer to join the AI Studio team and lead the QA team to thoroughly validate the agent architecture of AI Studio. The testing will spread across components like ION, Data Fabric, Birst, EPM, RPA/IDP, CSD, and Portal. This initiative constitutes a strategic priority for Infor, designed to accelerate velocity suite sales, enhance customer experience, and facilitate more effective collaboration between Cutomers and Sevices, FDEs, Partners and SCs We are seeking a Team Lead for Quality Assurance to lead the testing efforts to deliver high quality software solutions across our cloud product portfolio. A Typical Day In The Life Includes A Day in the Life Typically Includes:
• Define and own the overall QA strategy for AI Studio — covering search relevance, multi-agent coordination, schema validation, tenant isolation, and LLM output quality.
• Lead a team of QA engineers, assign test coverage areas, review test plans, and ensure quality gates are met before each release.
• Collaborate with the AI Studio architecture team, component teams, and FDEs to understand new features, contribution model changes, and agent updates — translating these into test requirements.
• Drive the design of evaluation frameworks for non-deterministic Orchestrator outputs — defining what "correct" means for gap maps, dependency graphs, and blueprint quality across varying user inputs.
• Oversee search relevance regression testing — ensuring that as the knowledge corpus grows, existing query-result quality does not degrade.
• Define and enforce tenant isolation testing standards, ensuring no cross-tenant data leakage across sessions, project history, or search results.
• Report quality metrics to engineering leadership — solution generation success rates, clarification round counts, agent failure rates, and corpus coverage gaps. Basic Qualifications Required

Qualifications:
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 8–10 years of experience in software quality assurance with at least 3 years in a lead or principal QA role.
• Proven experience leading QA for an AI or data-intensive product in production — not just familiarity with concepts but hands-on ownership of quality outcomes.
• Deep understanding of RAG system testing — search relevance validation, embedding quality assessment,



hybrid search behaviour, and corpus quality measurement.
• Strong experience with multi-agent or distributed system testing — tracing failures across service boundaries, validating inter-agent contracts, and verifying execution ordering.
• Experience building and maintaining automated test suites in Python, with the ability to define quality frameworks from scratch rather than inheriting them.
• Solid understanding of LLM evaluation methodologies and tools such as RAGAS, DeepEval, or equivalent — with the ability to select and adapt them to non-standard evaluation problems.
• Experience with REST API contract testing and integration testing across multi-service architectures.
• Experience with at least one major cloud platform: AWS (Preferred), Azure, or GCP.
• Strong communication and stakeholder management skills — ability to translate quality findings into clear risk assessments for engineering leadership and product teams. Preferred Qualifications Preferred

Skills:
• Experience leading QA for agentic AI systems or LLM orchestration pipelines where output correctness is semantic rather than deterministic.
• Familiarity with OpenSearch, Elasticsearch, or other vector and hybrid search platforms — ideally with hands-on experience designing relevance test suites.
• Knowledge of prompt adversarial testing — designing inputs that expose reasoning failures, hallucinations, incorrect component selection, or silent gap map errors.
• Experience with MLOps or LLMOps observability tooling — defining monitoring standards, alert thresholds, and trace inspection processes for AI pipelines.
• Familiarity with multi-tenant SaaS security testing, particularly tenant isolation and session boundary enforcement.
• Exposure to Infor OS, ERP systems, or enterprise workflow automation products — understanding the domain context that AI Studio operates in.
• Experience establishing QA contribution processes for knowledge-driven systems where test data quality directly determines test coverage effectiveness.
• Familiarity with CI/CD pipelines and DevOps practices — ability to integrate quality gates into automated deployment workflows. About Infor Infor is where ambition meets impact.



Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next. Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section. Fraud Awareness We have been made aware of unauthorized individuals posing as Infor recruiters, including some who have made fraudulent offers of employment. Please read our guidelines and protect yourself from recruitment scams. Fraud Privacy Policy We value your privacy at Infor. You may access our privacy policy here. US Only This employer uses E-Verify. Please visit this website for additional information. E-Verify Illinois: Click here, aquí, or tu Click The Links Below For Additional Information
• Right to Work
• Employee Polygraph Protection Act
• Family & Medical Leave Act
• Discrimination & Harassment Policy
• Equal Employment Prospect

📌 Team Lead, Quality Assurance (Hyderabad)
🏢 Infor
📍 Hyderabad