Specialist Automation Engineer - Digital Experience & Automation

Role Overview: Join Amgen's mission of serving patients by becoming a Specialist Automation Engineer in Digital Experience & Automation. In this role, you will design, build, and scale intelligent automations leveraging various technologies to streamline Digital Technology & Innovation operations and enhance workforce productivity across the enterprise. You will be responsible for leading automation projects, collaborating with stakeholders, and delivering measurable business outcomes. Key Responsibilities: - Engineer end-to-end automations: design, code, test, deploy, and maintain robust solutions to reduce manual effort and cycle time. - Rapid prototyping: deliver proof-of-concept automations to validate feasibility and value, iterating quickly with stakeholders. - Process re-engineering: work with subject matter experts to map, optimize, and automate workflows using RPA, AI/ML, and cloud services. - Project ownership: drive high-visibility automation initiatives, ensuring scope, quality, schedule, and cost targets are met. - Hands-on development: build reusable components, APIs, and orchestration logic in Python, JavaScript/TypeScript, or similar languages. - Intelligent automation: integrate cognitive services (NLP, OCR, predictive models) to create self-learning, adaptive solutions. - Collaboration & guidance: partner with ML engineers, cloud architects, and DevOps teams to operationalize and scale automations. - Standards & best practices: contribute to coding guidelines, CI/CD pipelines, and governance frameworks that enable sustainable growth. Qualification Required: Basic Qualifications: - Master's degree / Bachelor's degree and 8 to 13 years Information Systems experience Preferred Qualifications: Must-Have Skills: - 2+ years building automations with leading platforms (UiPath, Automation Anywhere, Blue Prism, Power Automate, etc.). - Proven full-stack development skills in at least one modern language (Python, JavaScript/TypeScript, C#, Java, Go, etc.). - Experience delivering cloud-native solutions using services such as Lambda/Functions, API Gateway, S3/Blob, and serverless data stores. - Familiarity with ML/AI concepts and integration of models or cognitive services into automation workflows. - Demonstrated success leading or contributing to Agile/Scrum or DevOps delivery teams. - Strong analytical and problem-solving capabilities; ability to translate operational pain points into technical designs. Nice To Have Skills: - 3-5 years designing, deploying, and operating automations across various environments. - Deep proficiency in Python and experience developing, training, or tuning machine-learning models. - Hands-on experience with process-mining/intelligence tools. - Solid understanding of CI/CD pipelines, infrastructure-as-code, and containerization. - Familiarity with AWS services such as EC2, S3, Lambda, Glue, Athena, and Redshift. - Exposure to citizen-development programs and governance of low-code/no-code solutions. Soft Skills: - Strong collaboration and influencing skills. - Proven ability to prioritize, manage multiple initiatives, and deliver under tight deadlines. - Clear, concise communicator able to tailor messages to different audiences. - High degree of initiative, ownership, and accountability; thrives in fast-changing environments.,