About this role
About the Role Join Amgen's Mission to Serve Patients. In this vital role you will be at the forefront of innovation, designing and implementing cutting-edge AI/Gen AI solutions to drive operational efficiency while protecting critical systems and data. What You'll Do
- Design, develop, and deploy Agentic and Gen AI solutions using advanced LLMs like OpenAI API, Open Source LLMs (Llama2, Gemini, Claude), and frameworks like Langchain, Haystack and Agentic frameworks like Autogen and CrewAI or similar
- Lead efforts in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Agentic AI Initiatives
- Provide guidance to software engineers for algorithm implementation for solution/product development
- Design and implement Agentic AI & GenAI solutions that drive productivity across all roles in the software development lifecycle and enterprise roles
- Demonstrate the ability to rapidly learn the latest technologies and develop a vision to embed the solution to improve operational efficiency within a product team What We're Looking For
- Basic Qualifications: Master’s degree and 4 to 6 years of experience in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Gen AI Initiatives OR Bachelor’s degree and 6 to 8 years of experience in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Gen AI Initiatives OR Diploma and 10 to 12 years of experience in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Gen AI Initiatives
- Preferred Qualifications: Proficiency in programming languages such as Python and Java and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, SciPy, Pandas, etc. Experience with agents and orchestration (AutoGen, CrewAI, LangGraph, etc.) Leverage advanced knowledge of Python open-source software stack such as Django Nice to Have
- Proficiency in Python and Java; familiarity with TensorFlow, PyTorch, scikit-learn, SciPy, Pandas
- Experience with agents and orchestration (AutoGen, CrewAI, LangGraph)
- Knowledge of Python open-source stack such as Django