
Multinational biopharmaceutical company.
Senior Associate Solution Architect (Agentic Automation, GenAI & ML)
福利厚生
•健康保険
•401k
•ストックオプション
必須スキル
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について

Amgen
PublicA biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10,001+
従業員数
Thousand Oaks
本社所在地
$138B
企業価値
レビュー
24件のレビュー
3.6
24件のレビュー
ワークライフバランス
3.2
報酬
3.5
企業文化
3.1
キャリア
2.8
経営陣
3.4
65%
知人への推奨率
良い点
Excellent benefits and health benefits
Good pay and compensation
Supportive management and leadership
改善点
Limited career growth and promotion opportunities
Work-life balance challenges and long hours
Bureaucratic processes
給与レンジ
1,002件のデータ
L2
L6
L3
L4
L5
L2 · Financial Analyst L2
0件のレポート
$94,068
年収総額
基本給
$37,627
ストック
$47,034
ボーナス
$9,407
$65,848
$122,288
面接レビュー
レビュー5件
難易度
3.0
/ 5
期間
14-28週間
内定率
40%
体験
ポジティブ 20%
普通 80%
ネガティブ 0%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Final Round/Panel Interview
6
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
Culture Fit
最新情報
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