トレンド企業

Amgen
Amgen

Multinational biopharmaceutical company.

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

職種ソリューションアーキテクト
経験シニア級
勤務地Hyderabad, India
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

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.

  • 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., Lang Chain, Langgraph, Auto Gen, CrewAI).

  • 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:

  • 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., Tensor Flow, Py Torch), 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 Ui Path 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 Sage Maker, 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

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Amgenについて

Amgen

Amgen

Public

A 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