Applied AI/Automation DevOps Engineer
Amgen View all jobs
- Hyderabad, Telangana
- Permanent
- Full-time
- Contribute to the design, development, testing, and deployment of automation workflows using UiPath, Power Automate.
- Assist in integrating AI services and APIs into automation pipelines for use cases such as document processing, summarization, and workflow decisioning.
- Develop and maintain automation components, scripts, and connectors using Python, JavaScript, or similar languages under guidance.
- Support CI/CD pipelines for automation and AI solutions, including build, deployment, and environment promotion activities.
- Assist with monitoring, logging, and basic performance analysis of automation and AI services.
- Participate in incident response and troubleshooting activities, escalating issues as appropriate.
- Support solution availability, reliability, and cost-awareness initiatives.
- Work as part of a global team of automation and DevOps engineers contributing to enterprise AI & Automation solutions.
- Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
- Collaborate with cross-functional teams including architects, testers, business analysts, and product owners to deliver incremental value.
- Follow established enterprise architecture, security, and data governance standards.
- Support validation activities and documentation required for regulated (GxP) environments.
- Ensure solutions adhere to defined development, testing, and deployment best practices.
- Stay current with emerging DevOps, automation, and Applied AI technologies.
- Contribute to documentation, knowledge sharing, and internal demos under guidance.
- Continuously improve technical and professional skills through hands-on experience and mentoring.
- Any degree and 2 to 5 years of Computer Science, IT or related field experience
- Hands on experience in Intelligent Automation platforms such as UiPath or Power Automate.
- Foundational experience with DevOps, automation, or software engineering concepts.
- Basic programming or scripting experience (e.g., Python, JavaScript).
- Understanding of Agile methodologies and team-based delivery models.
- Willingness to learn enterprise DevOps, automation, and AI solution engineering practices.
- Exposure to cloud platforms such as AWS.
- Familiarity with CI/CD tools and version control systems.
- Introductory knowledge of AI/ML or GenAI concepts and services.
- Experience working in regulated or compliance-driven environments.
- Excellent critical-thinking and problem-solving skills
- Strong communication and collaboration skills
- Demonstrated awareness of how to function in a team setting
- Demonstrated awareness of presentation skills