{"id":1905089,"url":"https://alion.io/job/g42-lead-qa-engineer","title":"Lead QA Engineer","company":{"id":190,"name":"G42","domain":"g42.ai","url":"https://alion.io/company/g42","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.333,"time_to_fill_p50_days":12,"computed_at":"2026-10-09T06:01:00Z"}},"role":"QA","role_family":"QA","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abu Dhabi, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Azure AKS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Cypress","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Playwright","optional":true},{"name":"Postman","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true},{"name":"Rest-Assured","optional":true},{"name":"Selenium","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-22T14:00:26Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-09T21:42:28Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer - transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inception42.ai\nOverview:\nWe are seeking a Lead Engineer - AI Application QA to define and drive the quality assurance strategy for AI-enabled financial applications and enterprise platforms. This role combines technical leadership with hands-on testing across application functionality, AI-powered user experiences, APIs, data flows, and integrated business workflows.You will lead manual and automated testing practices, establish measurable acceptance criteria, and embed continuous testing throughout the software delivery lifecycle. Working closely with Engineering, Product, Architecture, and AI teams, you will ensure that applications deliver reliable, secure, and contextually appropriate outcomes that meet business requirements.\nResponsibilities:\nOwn the end-to-end QA strategy, test planning, and execution for AI-enabled applications, covering functional, integration, regression, usability, accessibility, and performance testing.\nLead and mentor QA engineers, review test designs and automation code, and maintain consistent testing standards across internal and vendor teams.\nDefine risk-based coverage and acceptance criteria for business workflows, including AI-assisted interactions and their downstream actions.\nValidate AI application behavior against approved scenarios, checking response relevance, factual consistency with authorized source content, instruction adherence, and appropriate handling of unsupported requests.\nTest conversational experiences, including multi-turn interactions, context retention, session isolation, ambiguous inputs, and recovery from errors.\nValidate document ingestion and retrieval workflows, ensuring responses use relevant source content, provide accurate references where required, and respect user access permissions.\nTest AI-driven orchestration and tool integrations, including correct action execution, confirmation steps, authorization boundaries, retries, and prevention of duplicate or unintended actions.\nValidate application safeguards against prompt injection, sensitive information disclosure, and unauthorized access across users or tenants.\nVerify graceful handling of unavailable AI services, timeouts, incomplete responses, and dependency failures, including fallback behavior and user-facing messages.\nBuild and maintain scalable automation frameworks for UI, API, integration, and data validation testing.Maintain reusable business scenarios, representative test data, and application regression suites to assess the impact of changes to prompts, configurations, integrations, and application releases.\nIntegrate automated smoke and regression testing into CI/CD pipelines, supporting daily regression and timely feedback.Validate financial calculations, reconciliations, reporting, and audit trails within AI-assisted and conventional application workflows.Assess end-to-end responsiveness, concurrent usage, and application stability under expected and peak workloads.\nCollaborate with Security and Compliance teams to verify application controls against applicable requirements.Drive defect triage and root-cause analysis, translating production findings into improved test coverage.\nMaintain requirements traceability, test evidence, defects, and quality reporting in Azure DevOps.Communicate release readiness, unresolved defects, and residual risks; ensure QA sign-off is followed by Product sign-off before production release.\nQualifications:\nTo qualify for this role, you must have:\nA bachelor’s degree in Computer Science, Engineering, or a related field.At least 10 years of QA experience, including 3 years technical leadership in enterprise environments.\nHands-on experience testing AI-enabled applications, such as conversational assistants, enterprise search, document processing, or automated business workflows.Strong expertise in functional testing, exploratory testing, test design, and automation engineering.\nExperience developing and maintaining automation frameworks for UI, API, and end-to-end integration testing.An understanding of application concepts such as prompts, conversational context, retrieval-augmented generation (RAG), and AI-driven tool execution.\nThe ability to design repeatable acceptance checks for applications whose responses can vary, using clear business rules and expected outcomes.\nStrong SQL skills and experience validating data flows, transformations, and reporting outputs.Experience validating financial workflows, access controls, and audit requirements.\nFamiliarity with Agile delivery, Git, CI/CD pipelines, and cloud-based applications.Strong analytical and communication skills, with the ability to explain quality risks and support release decisions.Experience mentoring engineers and coordinating testing across multidisciplinary teams.\nTechnical Exposure\nRelevant experience with an appropriate combination of the following technologies is desirable:\nTest automation: Selenium, Playwright, Cypress, REST Assured.\nProgramming languages: Python, TypeScript; Java for REST Assured-based automation.\nAI application testing: Conversational workflows, RAG applications, prompt regression, response verification, and tool/API integration testing.\nAPI testing: Postman, REST APIs, authentication, authorization, and service integration.\nCI/CD and test management: Azure DevOps, GitHub Actions.\n Azure services: App Services, Azure Functions, Azure Kubernetes Service (AKS).\nData platforms: SQL, Azure Data Factory.\n Domain knowledge: Financial systems, reconciliation, compliance controls, and reporting.\nWhat We Look For\nIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception42 community.\nWhat Working At Inception42 Offers\nCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.\nCareer: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.\nRewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.\nIf you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.","description_format":"text","description_chars":6989,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-05T12:39:23Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.679,"p_room":0.55,"age_days":16,"expected_fill_days":12,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-09T06:01:00Z"},"pay":null,"html_url":"https://alion.io/job/g42-lead-qa-engineer","json_url":"https://alion.io/job/g42-lead-qa-engineer.json","meta":{"generated_at":"2026-10-10T00:06:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":74,"day_limit":5000,"remaining_today":4926,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":190},"rest":"https://alion.io/mcp/rest/get_company?id=190"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fg42-lead-qa-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fg42-lead-qa-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fg42-lead-qa-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/g42-lead-qa-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fg42-lead-qa-engineer"}]}