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 Responsibilities
Automation Engineering Leadership
Design, develop, and maintain scalable, enterprise-grade automation frameworks using Selenium and Playwright
Build reusable automation components, libraries, and utilities for cross-project adoption.
- Develop automated test suites covering:
Functional
Regression
- API
End-to-End scenarios
Lead 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.
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Drive automation initiatives across programs and mentor junior engineers.
Generative AI & Agentic AI Engineering
Design and implement AI-driven testing solutions leveraging LLMs and Generative AI
Build 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 generation
Intelligent test data creation
Anomaly detection and defect prediction
Integrate 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 Engineering
AI/ML & Data Engineering for Quality
Build 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 transformation
Exploratory Data Analysis (EDA)
Feature engineering and model evaluation
Deliver business insights through interactive dashboards and reporting solutions.
Support both legacy and modern platforms with data-driven and AI-powered testing.
Engineering & Cross-Functional Collaboration
Collaborating with Product Owners, Developers, DevOps, and Business Teams
Translate 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 & Experience
Core Automation Expertise
8+ years in QA Automation / SDET / Quality Engineering
- Strong experience in:
Selenium WebDriver
Playwright (Java / Python)
Expertise in framework design from scratch
- Hands-on experience in:
API Testing (REST / SOAP)
BDD frameworks (Cucumber, TestNG)
CI/CD integration
Agile/Scrum methodologies
Programming & Engineering Skills
- Proficiency in:
Python / Java / JavaScript / TypeScript
Strong SQL expertise (mandatory)
- Solid foundation in:
OOP principles
Data structures & algorithms
Design patterns for automation frameworks.
GenAI & Agentic AI Capabilities
- Hands-on experience with:
LangChain / LangGraph
Hugging Face / Transformers
LLM APIs (OpenAI, etc.)
- Deep understanding of:
RAG architecture
Prompt engineering
AI agent orchestration
Vector databases (FAISS, Pinecone)
AI/ML & Data Analytics Skills
- Machine Learning:
Supervised & Unsupervised learning
Forecasting models
Model evaluation techniques.
- NLP & GenAI:
Transformers, embeddings, LLMs
- Data Analytics:
Data cleaning & EDA
KPI tracking & dashboard development.
Data visualization
Tools & Technologies
- Programming & Data:
Python, SQL, Pandas, NumPy
- ML/AI:
scikit-learn, Hugging Face, LangChain
- Visualization & Dashboarding:
Plotly, Streamlit
- Productivity & Version Control:
Excel (Pivot Tables, VLOOKUP)
Git, GitHub
- Development:
Jupyter Notebook
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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