Join Amgen's mission to serve patients living with serious illnesses and contribute to innovative biotech solutions. As a Specialist Software Engineer, you'll design, develop, and maintain GEN AI solutions software applications and solutions that meet business needs and ensure high availability and performance of critical systems and applications in Process development under Operation.
Requirements
- Take ownership of complex software projects from conception to deployment
- Manage software delivery scope, risk, and timeline
- Provide technical guidance and mentorship to junior developers
- Contribute to front-end and back-end development using cloud technology
- Develop innovative solutions using generative AI technologies
- Integrate with other systems and platforms to ensure seamless data flow and functionality
- Conduct code reviews to ensure code quality and adherence to best practices
- Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
- Analyze and understand the functional and technical requirements of applications, solutions, and systems and translate them into software architecture and design specifications
- Work closely with product team, cross-functional teams, enterprise technology teams and QA, to deliver high-quality and compliant software on time
- Ensure high quality software deliverables free of bugs and performance issues through proper design and comprehensive testing strategies
- Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
- Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search
- Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration
- Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs).
- Develop solutions for handling structured/unstructured data in AI pipelines
- Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, Databricks)
- Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement.
Benefits
- Competitive and comprehensive Total Rewards Plans
- Inclusive environment of diverse, ethical, committed and highly accomplished people
- Collaborative culture
- Professional and personal growth and well-being
