Title: Automation with AI AWS Bedrock
Location: Dallas, TX
Duration: Long term
Rate: $60/hr on corp to corp
Must have; Need a strong Sr Automation AWS BEDROCK consultant with 10+ Years experience with Strong AI AWS Bedrock
JD Is attached
Responsibilities
· Design, develop, and maintain test automation frameworks using Python and/or Java.
· Build automated test suites for functional, regression, performance, and integration testing.
· Participate in testing of AI/ML models, including validating outputs, datasets, model accuracy,
and edge-case behaviors.
· Implement AI-assisted testing tools and contribute to developing intelligent test solutions.
· Collaborate with cross-functional teams to understand product requirements and convert them
into test strategies.
· Identify root causes of defects and work with engineering teams to resolve them.
· Perform code reviews, maintain test documentation, and ensure best testing practices.
· Contribute to CI/CD pipelines with automated quality gates.
· Continuously evaluate and integrate new tools, frameworks, and AI capabilities to improve test
efficiency.
Required Skills & Qualifications
· Bachelor’s degree in computer science, Engineering, or related field (or equivalent
experience).
· Strong experience in test automation using Python and/or Java.
· Solid understanding of testing methodologies, QA processes, and automation principles.
· Exposure to AI/ML concepts such as model training, model inference, datasets, bias, and
evaluation metrics.
· Experience working with API testing tools (e.g., Postman, REST Assured, PyTest).
· Hands-on experience with automation frameworks like Selenium, Playwright, Cypress, or
Robot Framework.
· Familiarity with CI/CD platforms (Jenkins, GitHub Actions, GitLab CI, etc.).
· Strong analytical and debugging skills.
Preferred Qualifications
· Experience testing AI/ML pipelines or platforms.
· Understanding of LLMs, NLP, generative AI, or ML workflows.
· Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform).
· Experience with containerization tools (Docker, Kubernetes).
· Familiarity with data validation, data quality tools, or synthetic data generation.
· Experience with test-case generation using AI tools.
What We Offer
· Opportunity to work on cutting-edge AI-driven products.
· Flexible work environment and supportive culture.
· Professional growth through training and exposure to the latest AI tech.
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