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# AI Automation with AWS Bedrock

- **Company:** SolveIT Services Inc
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $124,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Data Validation, Data Cleansing, Software Debugging, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Selenium, Software Testing Automation Framework, Strategies of Testing, Google Cloud, Postman, Large Language Models, Cypress (Programming Language), Generative AI, Pytest, Containerization, Gitlab-ci, Integration Tests, Kubernetes, Information Technology, Playwright, Machine Learning Operations, Docker, Jenkins, Data Generation
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/f2adf354-34e2-42ab-80d4-1f534db01a7c

## About the Role

Must have; Need a strong Sr Automation AWS BEDROCK consultant with 10+ Years experience with Strong AI AWS Bedrock, · 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.

## Description

· 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.


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