
Multinational biopharmaceutical company.
Senior Associate Solution Architect (Agentic Automation, GenAI & ML)
복지 및 혜택
•의료보험
•401k
•스톡옵션
필수 스킬
Python
TensorFlow
PyTorch
AWS
Azure
GCP
MLOps
LLM
UiPath
Power Automate
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.
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Build and maintain full-stack AI applications, ensuring performance, scalability, and cost-efficiency.
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Design and implement agentic AI systems that autonomously perform complex tasks, leveraging LLMs, multi-agent orchestration, and tool integration.
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Collaborate cross-functionally with data scientists, engineers, and product teams to drive innovation and platform reuse.
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Stay current with the latest trends in generative AI,multi-modal models, and agent frameworks (e.g., Lang Chain, Langgraph, Auto Gen, CrewAI).
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Design, develop, and deploy automation workflows using platforms such as **Ui Path 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:
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Master's degree / Bachelor's degree and 5 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience.
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3+ years of experience in AI/ML system architecture and deployment.
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Proficiency in Python, ML frameworks (e.g., Tensor Flow, Py Torch), and cloud platforms (AWS, Azure, or GCP).
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Hands-on experience with MLOps tools and AI model lifecycle management.
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Strong understanding of LLM-based architecture, prompt engineering, and fine-tuning techniques.
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Proficient in all aspects like design, develop and deploy automation workflows using platforms such as Ui Path and Power Automate
Preferred Qualifications:
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Experience with agentic AI frameworks and multi-agent orchestration.
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Business Processing Modeling: Proficiency in using business modeling techniques like UML or BPMN
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Familiarity with vector databases and retrieval-augmented generation (RAG)
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Knowledge of Architecting and deploying end-to-end machine learning pipelines using modern MLOps stacks such as Kubeflow, Amazon Sage Maker, and OpenAI SDK.
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Optimize AI workloads for cloud-native environments, ensuring robust CI/CD, monitoring, and governance.
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Experience with observability tools and model monitoring platforms.
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Awareness and use of responsible AI practices, including model explainability, fairness, and observability.
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Knowledge of modern SAP platforms and modules, preferably in S4 and Build Process Automation (BPA) suite.
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Experience in Pharma and Biopharma industry preferred but will consider any healthcare industry experience
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Strong solution design and problem-solving skills
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Strong understanding of technology, function, or platform
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Ability to analyze client requirements and translate them into solutions
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API Integration Technologies: Familiarity with integration platforms, protocols, and standards (e.g., ESB, REST, SOAP).
Soft Skills:
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Excellent critical-thinking and problem-solving skills
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Strong communication and collaboration skills
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Demonstrated awareness of how to function in a team setting
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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
.
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Amgen 소개

Amgen
PublicA biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10,001+
직원 수
Thousand Oaks
본사 위치
$138B
기업 가치
리뷰
24개 리뷰
3.6
24개 리뷰
워라밸
3.2
보상
3.5
문화
3.1
커리어
2.8
경영진
3.4
65%
지인 추천률
장점
Excellent benefits and health benefits
Good pay and compensation
Supportive management and leadership
단점
Limited career growth and promotion opportunities
Work-life balance challenges and long hours
Bureaucratic processes
연봉 정보
1,002개 데이터
L2
L6
L3
L4
L5
L2 · Financial Analyst L2
0개 리포트
$94,068
총 연봉
기본급
$37,627
주식
$47,034
보너스
$9,407
$65,848
$122,288
면접 후기
후기 5개
난이도
3.0
/ 5
소요 기간
14-28주
합격률
40%
경험
긍정 20%
보통 80%
부정 0%
면접 과정
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Final Round/Panel Interview
6
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
Culture Fit
최근 소식
FDA turns up heat on Amgen, proposing to rescind approval of Tavneos
HN
·
1w ago
·
1
·
1
Amgen posts Q1 results April 30; anyone can hear the webcast live - Stock Titan
Stock Titan
News
·
1w ago
AMGEN ANNOUNCES WEBCAST OF 2026 FIRST QUARTER FINANCIAL RESULTS - Yahoo Finance
Yahoo Finance
News
·
1w ago
Amgen’s Chief Technology Officer Dr David Reese to retire - European Pharmaceutical Review
European Pharmaceutical Review
News
·
1w ago