Senior Associate Solution Architect (Agentic Automation, GenAI & ML)

Career Category

Information Systems

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission, to serve patients living with serious illnesses, drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Let’s do this. Let’s change the world. In this vital role you will work as Sr Associate Solution Architect that offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. You’ll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen’s Applied AI & Automation Footprint.

We are seeking a highly skilled and innovative Senior Associate Solution Architect to design, develop, and deploy scalable AI/ML systems with a strong emphasis on agentic automation, generative AI, and MLOps best practices. This role is ideal for a hands-on architect who thrives at the intersection of cutting-edge AI technologies and enterprise-grade platforms of a maturity spectrum from Agentics, Intelligent Automation to Robotic Process Automation.

Build and maintain full-stack AI applications, ensuring performance, scalability, and cost-efficiency.

Design and implement agentic AI systems that autonomously perform complex tasks, leveraging LLMs, multi-agent orchestration, and tool integration.

Collaborate cross-functionally with data scientists, engineers, and product teams to drive innovation and platform reuse.

Stay current with the latest trends in generative AI, multi-modal models, and agent frameworks (e.g., LangChain, Langgraph, AutoGen, CrewAI).

Design, develop, and deploy automation workflows using platforms such as UiPath and Power Automate

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

Master's degree / Bachelor's degree and 5 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience.

3+ years of experience in AI/ML system architecture and deployment.

Proficiency in Python, ML frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (AWS, Azure, or GCP).

Hands-on experience with MLOps tools and AI model lifecycle management.

Strong understanding of LLM-based architecture, prompt engineering, and fine-tuning techniques.

Proficient in all aspects like design, develop and deploy automation workflows using platforms such as UiPath and Power Automate

Preferred Qualifications:

Experience with agentic AI frameworks and multi-agent orchestration.

Business Processing Modeling: Proficiency in using business modeling techniques like UML or BPMN

Familiarity with vector databases and retrieval-augmented generation (RAG)

Knowledge of Architecting and deploying end-to-end machine learning pipelines using modern MLOps stacks such as Kubeflow, Amazon SageMaker, and OpenAI SDK.

Optimize AI workloads for cloud-native environments, ensuring robust CI/CD, monitoring, and governance.

Experience with observability tools and model monitoring platforms.

Awareness and use of responsible AI practices, including model explainability, fairness, and observability.

Knowledge of modern SAP platforms and modules, preferably in S4 and Build Process Automation (BPA) suite.

Experience in Pharma and Biopharma industry preferred but will consider any healthcare industry experience

Strong solution design and problem-solving skills

Strong understanding of technology, function, or platform

Ability to analyze client requirements and translate them into solutions

API Integration Technologies: Familiarity with integration platforms, protocols, and standards (e.g., ESB, REST, SOAP).

Soft Skills:

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

EQUAL OPPORTUNITY STATEMENT

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

.