Automation Engineer (Up to 26K)

• Building AI agents on AWS Quick Suite to support insurance workflows
• 1-3 yrs of related experience, Junior Level
• Multiple Openings

Duties

• Building, testing, and deploying automation workflows using tools like Amazon Bedrock Flows, UiPath, Microsoft Power Automate, n8n , and related scripting (Python, JavaScript, PowerShell) .
• Supporting automation delivery projects, from design and implementation through to post-deployment support
• Collaborating with technology and business stakeholders to document requirements and translate them into automation solutions
• Maintaining and improving reusable automation components and frameworks
• Providing consultation on automation feasibility and solutioning for new use cases
• Explore and apply AI-based technologies (e.g., Generative AI, Predictive AI, Agentic AI) to enhance automation solutions. A strong interest in developing knowledge in this area is expected, and prior engineering experience with these technologies will be considered an advantage.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Information Systems Engineering, Business Information Systems, or related fields.
• 1–3 years’ experience in business process automation, software engineering or related fields. Experience in a Business Analyst role will be considered an advantage.
• Strong understanding of software development and testing methodologies, including functional, regression, and acceptance testing, with the ability to design and validate automated workflows.
• Familiarity with test automation practices, continuous integration/continuous delivery (CI/CD), and quality assurance frameworks is highly desirable.
• Hands‑on experience with RPA and workflow tools (UiPath, Power Automate, n8n, AWS Bedrock Flows).
• Scripting skills (Python, JavaScript, or PowerShell).
• Knowledge of AWS cloud services and architecture, with experience integrating automation solutions into AWS-based infrastructure.
• Practical knowledge or experience applying AI technologies (e.g., Generative AI, Predictive AI, Agentic AI) to automation use cases is a strong advantage.
• Familiarity with Agile ways of working and tools like JIRA and Confluence.
• Strong communication, analytical and problem-solving skills.

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