Productivity Tools and Technology Engineer

Career Category

Information Systems##

Job Description

Join Amgen's Mission to Serve Patients

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

Productivity Tools and Technology Engineer

Live

What you will do

Let’s do this. Let’s change the world. In this vital role you will be at the forefront of innovation, using their skills to design and implement cutting-edge AI/Gen AI solutions. With an emphasis on creativity, collaboration, and technical excellence, this role provides a unique opportunity to work on transformative projects that enhance operational efficiency at the Amgen Technology and Innovation Centre while ensuring the protection of critical systems and data

• Roles & Responsibilities: - 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 the operational efficiency within a product team

Win

What we expect of you

• 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 or Flask, Django Rest or FastAPI, etc.

• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases

• Familiarity with cloud security (AWS /Azure/ GCP)

• Apply expertise in integrating and leveraging Gen AI LLMs to maximize operational efficiency.

• Experience developing Agentic workflows and frameworks

• Good-to-Have Skills:

• Conceptual understanding of DevOps tools (Ansible/ Chef / Puppet / Docker /Jenkins)

• Experience with graph databases (Neo4J and Cypher would be a big plus)

• Exposure to fine-tuning, embeddings, and model optimization

• Experience with Prompt Engineering and familiarity with frameworks such as Dspy

• Professional Certifications:

• AWS / GCP / Databricks

Soft Skills:

• Excellent analytical and troubleshooting skills.

• Strong verbal and written communication skills

• Ability to work effectively with global, virtual teams

• High degree of initiative and self-motivation.

• Ability to manage multiple priorities successfully.

• Team-oriented, with a focus on achieving team goals

• Strong presentation and public speaking skills.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now

for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

careers.amgen.com

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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• 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 .
• 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 or Flask, Django Rest or FastAPI, etc.
• Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
• Familiarity with cloud security (AWS /Azure/ GCP)
• Apply expertise in integrating and leveraging Gen AI LLMs to maximize operational efficiency.
• Experience developing Agentic workflows and frameworks