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

Amgen

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

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

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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About Amgen

Amgen

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

Employees

Thousand Oaks

Headquarters

$138B

Valuation

Reviews

3.8

2 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

3.0

Career

4.0

Management

3.0

70%

Recommend to a Friend

Pros

Professional development opportunities

Exposure to diverse functions and projects

Large-scale project experience

Cons

Understaffed with high output expectations

Limited permanent job opportunities

Temporary contract limitations

Salary Ranges

1,544 data points

L2

L3

L4

L5

L6

L2 · Financial Analyst L2

0 reports

$94,068

total / year

Base

$37,627

Stock

$47,034

Bonus

$9,407

$65,848

$122,288

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience