Senior AI & Automation Quality Engineer - Senior Associate

Experienced Automation and AI/ML Engineer with a strong background in Quality Engineering, Data Analytics, and Generative AI solutions. Proven expertise in designing scalable automation ecosystems, building AI-powered testing frameworks, and delivering data-driven insights through advanced analytics and dashboarding.Skilled in transforming raw data into actionable intelligence, driving intelligent test automation, predictive quality models, and autonomous testing systems for enterprise-scale applications.Key Responsibilities1. Automation Engineering LeadershipDesign, develop, and maintain scalable, enterprise-grade automation frameworks using Selenium and PlaywrightBuild reusable automation components, libraries, and utilities for cross-project adoption.Develop automated test suites covering:FunctionalRegressionAPIEnd-to-End scenariosLead automation strategy, ensuring maximum coverage and framework standardization.Integrate automation into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)Perform strong database validation with advanced SQL queries.Ensure quality delivery through:Test planning & execution.Defect managementReporting and metrics trackingDrive automation initiatives across programs and mentor junior engineers.2. Generative AI & Agentic AI EngineeringDesign and implement AI-driven testing solutions leveraging LLMs and Generative AIBuild RAG-based systems, AI copilots, and conversational test frameworks.Develop agentic workflows using LangChain & LangGraph for multi-step reasoning and orchestration.Implement:AI-driven test case generationIntelligent test data creationAnomaly detection and defect predictionIntegrate Hugging Face models and LLM APIs for custom QA use cases.Apply prompt engineering, fine-tuning, and model evaluation techniques.Drive innovation in autonomous testing systems and AI-led Quality Engineering3. AI/ML & Data Engineering for QualityBuild AI/ML models for defect prediction, test optimization, and quality forecasting.Design validation frameworks for data pipelines (Databricks, Snowflake, Azure)Develop analytics dashboards and KPI tracking solutions to improve decision making.Perform:Data cleaning and transformationExploratory Data Analysis (EDA)Feature engineering and model evaluationDeliver business insights through interactive dashboards and reporting solutions.Support both legacy and modern platforms with data-driven and AI-powered testing.4. Engineering & Cross-Functional CollaborationCollaborating with Product Owners, Developers, DevOps, and Business TeamsTranslate requirements into automation frameworks and AI solutions.Participate in Agile ceremonies and provide leadership in test strategy.Conduct code reviews, governance, and enforce best practices.Evaluate and onboard new tools, frameworks, and emerging AI technologies.Drive continuous improvement and innovation initiatives.Required Skills & ExperienceCore Automation Expertise8+ years in QA Automation / SDET / Quality EngineeringStrong experience in:Selenium WebDriverPlaywright (Java / Python)Expertise in framework design from scratchHands-on experience in:API Testing (REST / SOAP)BDD frameworks (Cucumber, TestNG)CI/CD integrationAgile/Scrum methodologiesProgramming & Engineering SkillsProficiency in:Python / Java / JavaScript / TypeScriptStrong SQL expertise (mandatory)Solid foundation in:OOP principlesData structures & algorithmsDesign patterns for automation frameworks.GenAI & Agentic AI CapabilitiesHands-on experience with:LangChain / LangGraphHugging Face / TransformersLLM APIs (OpenAI, etc.)Deep understanding of:RAG architecturePrompt engineeringAI agent orchestrationVector databases (FAISS, Pinecone)AI/ML & Data Analytics SkillsMachine Learning:Supervised & Unsupervised learningForecasting modelsModel evaluation techniques.NLP & GenAI:Transformers, embeddings, LLMsData Analytics:Data cleaning & EDAKPI tracking & dashboard development.Data visualizationTools & TechnologiesProgramming & Data:Python, SQL, Pandas, NumPyML/AI:scikit-learn, Hugging Face, LangChainVisualization & Dashboarding:Plotly, StreamlitProductivity & Version Control:Excel (Pivot Tables, VLOOKUP)Git, GitHubDevelopment:Jupyter NotebookAbout State StreetAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. 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