Business Architect, Applied AI & Automation

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

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.

Let’s do this. Let’s change the world. The Business Architect, Applied AI & Automation position offers a unique opportunity to join a fun, innovative team within the AI & Data Science organization. This role will support next-generation AI, automation, process intelligence, digital workflow, and productivity capabilities across Amgen's Applied AI & Automation portfolio.

The job offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly.

Our work spans the full lifecycle—from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact.

This is a pre-delivery business architecture role, not a traditional Technical Business Analyst role. The primary focus is to shape business demand before technical design and delivery by partnering with business stakeholders, product teams, solution partners, and delivery architects to clarify opportunities, define business value, document business processes, and prepare high-quality demand for prioritization and technical review.

The role is responsible for leading discovery activities, capturing business context, defining value drivers, supporting business cases, documenting current and future-state processes, and ensuring opportunities are ready to move through intake, discovery, technical review, prioritization, and delivery planning. This role helps ensure that AI and automation investments are connected to measurable business outcomes and that delivery teams receive clear, complete, and value-aligned opportunities.

The Business Architect will play a critical role in improving portfolio quality, strengthening prioritization decisions, and supporting value-driven delivery. The AI&DS framework separates Must Do work from discretionary value-driven work and uses structured inputs such as strategic value, product value, release value, reputational risk, urgency, severity, dependency, release duration, and resource allocation to support objective decision-making.

• Lead business discovery activities for AI, automation, process, workflow, and digital opportunities across Applied AI & Automation.
• Partner with business stakeholders, submitters, Product Managers, Solution Partners, Delivery Architects, and Delivery Leads to clarify business needs, opportunity scope, expected outcomes, and readiness for technical review.
• Translate ambiguous business requests into structured opportunity statements, including business problem, stakeholder impact, current-state pain points, desired future state, value drivers, risks, dependencies, assumptions, and…