Senior Automation Engineer expertise in AI

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

We are seeking a highly experienced Senior Software Development Engineer in Test (SDET) with expertise in AI and machine learning quality assurance. In this role, you will design, develop, and maintain scalable automated testing frameworks for software products that incorporate AI-powered features and services and you will work closely with software engineers, data scientists, product managers, and Dev Ops teams to establish robust testing strategies across the entire development lifecycle.

The ideal candidate has strong software engineering skills, deep knowledge of test automation, and practical experience validating AI/ML systems for functionality, performance, reliability, security, and fairness.

• Design and implement scalable, maintainable test automation frameworks for web, mobile, API, and backend systems.
• Develop comprehensive test strategies for AI/ML-powered products and services.
• Create automated tests for:
  Functional and regression testing, API and integration testing, End-to-end workflows, Performance, scalability, and reliability Data quality and pipeline validation Model accuracy and consistency Edge cases and failure scenarios, Security, privacy, and compliance
• Validate AI model outputs using appropriate metrics, benchmarks, test datasets, and acceptance criteria.
• Test generative AI systems, including:
  Prompt and response quality, Hallucination and factuality, Toxicity, bias, and harmful content, Prompt injection and jailbreak resistance
• Response consistency and latency, Retrieval-augmented generation (RAG) workflows Model and prompt regressions.
• Build tools and frameworks for test data generation, model evaluation, monitoring, and reporting.
• Integrate automated tests into CI/CD pipelines and enforce quality gates.
• Collaborate with development and data science teams to identify defects early and improve product quality.
• Investigate complex issues, perform root-cause analysis, and clearly communicate risks and recommendations.
• Establish quality metrics, dashboards, and reporting for software and AI/ML systems.
• Mentor junior and mid-level SDETs and promote engineering best practices.
• Contribute to test planning, code reviews, architecture discussions, and release readiness assessments.
• Stay current with emerging AI testing tools, methodologies, and industry standards.

• 06+ years of experience in software development, test automation, SDET, or quality engineering roles.
• Proven experience designing and maintaining automation frameworks.
• Strong knowledge of software testing principles, test strategy, and defect management.
• Experience testing RESTful APIs, microservices, databases, and distributed systems.
• Hands-on experience with tools such as Selenium, Playwright, Cypress, Appium, REST Assured,…