Principal Is Architect

**Join Amgen's Mission to Serve Patients**:
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

**Principal IS Architect**

**Live**:
**What you will do**

Let’s do this. Let’s change the world. In this vital role We are seeking a visionary and technically exceptional **Principal IS Architect** to lead the design and development of enterprise-wide intelligent search solutions. s a senior-level IT professional who designs and oversees the implementation of robust and scalable data and AI solutions, often utilizing the Java programming language and related technologies. This role requires a strong understanding of both data architecture principles and AI/ML concepts, along with expertise in Java development and cloud platforms

You’ll lead by example—mentoring engineers, setting standards, and driving the technical vision for our next-generation search capabilities.

This person will also be responsible for defining the roadmap for Products They will work closely with Development teams and act as a bridge between Product owners and Development teams to perform Proof of Concepts on provided design and technology, develop re-usable components etc. This is a senior role in the organization which along with a team of other architects will help design the future state of technology at Amgen India
- Design and Strategy: Responsibilities include developing and maintaining foundational architecture for data and AI initiatives, defining the technical roadmap, and translating business requirements into technical specifications
- Data Architecture: This involves designing and implementing data models, database designs, and ETL processes, as well as leading the design of scalable data architectures. The role also includes establishing best practices for data management and ensuring data security and compliance.
- AI Architecture and Implementation: Key tasks include architecting and overseeing the implementation of AI/ML frameworks and solutions, potentially with a focus on generative AI models, and defining processes for AI/ML development and MLOps.
- Collaborate closely with business partners, product managers, data scientists, software engineers, and the broader Global Technology Solutions teams in vetting solution design and delivering business value.
- Provide technical leadership and mentoring in data engineering and AI best practices.
- Evaluate and recommend emerging data technologies, AI techniques, and cloud services to enhance business capabilities.
- Ensure the scalability, performance, and security of data and AI architectures.
- Establish and maintain architectural standards, including patterns and guidelines for data and AI projects.
- Create architecture artifacts(concept, system, data architecture) for data and AI projects/initiatives.
- Create and oversee architecture center of excellence for data and AI area to coach and mentor resources working in this area.
- Set technical direction, best practices, and coding standards for search engineering across the organization.
- Review designs, mentor senior and mid-level engineers, and champion architecture decisions aligned with product goals and compliance needs.
- Own performance, scalability, observability, and reliability of search services in production.
- Resolving technical problems as they arise.
- Providing technical guidance and mentorship to junior developers.
- Continually researching current and emerging technologies and proposing changes where needed.
- .Assessing the business impact that certain technical choices have.
- Providing updates to stakeholders on product development processes, costs, and budgets.
- Work closely with Information Technology professionals within the company to ensure hardware is available for projects and working properly
- Work closely with project management teams to successfully monitor progress of initiatives
- Current understanding of best practices regarding system security measures
- Positive outlook in meeting challenges and working to a high level
- Advanced understanding of business analysis techniques and processes
- Account for possible project challenges on constraints including, risks, time, resources and scope
- Possesses strong rapid prototyping skills and can quickly translate concepts into working code
- Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline
- Participate to both front-end and back-end development using cloud technology.
- Develop innovative solution using generative AI technologies
- Define and implement robust software architectures on the cloud,