Senior Director, AI Solutions Architecture

Scorpion Therapeutics; United States; On-site; USD 210,000 - 320,000; Full time

Benefits offered by this job

Job summary

Amgen seeks a Senior Director, AI Solution Architecture to define and lead enterprise AI strategy, translating complex business needs into scalable AI products, platforms, and capabilities. You will partner with senior leaders to scope large-scale AI initiatives and develop blueprints that connect objectives, data assets, platforms, governance, and ROI.

The role requires 12+ years in AI/ML/enterprise architecture with leadership, preferably in biotech or regulated industries; experience in

Qualifications

• PhD/Masters/BS with extensive AI/ML experience (as specified).
• Ability to translate business needs into scalable AI solutions.

Responsibilities

• Define and lead Amgen’s enterprise AI solution architecture strategy.
• Co-create high-impact AI solutions with cross-functional stakeholders across R&D, Operations, Commercial, and corporate functions.
• Partner with senior leaders to scope large-scale AI initiatives and decompose opportunities into executable pathways.
• Develop blueprints connecting business objectives, data assets, platform capabilities, governance, and ROI.
• Assess feasibility, data readiness, operating model requirements, and adoption pathways.
• Collaborate with engineering, product, security, and compliance teams to deliver production-ready solutions.
• Establish reusable standards and lead a high-performing AI solution architecture function.

Skills

AI leadership

Enterprise architecture

Cross-functional collaboration

Stakeholder management

Education

Advanced degree in relevant field

Job description

Senior Director, AI Solution Architecture

What You Will Do

Define and lead Amgen’s enterprise AI solution architecture strategy, translating complex business needs into scalable AI products, platforms, and capabilities.

Responsibilities

• Co-create high-impact AI solutions with cross-functional stakeholders across R&D, Operations, Commercial, and corporate functions.
• Partner with senior business, product, technology, data, and AI leaders to scope large-scale AI initiatives and decompose ambiguous opportunities into executable solution pathways.
• Develop solution blueprints connecting business objectives, user needs, AI/ML methods, data assets, platform capabilities, integration needs, governance, and measurable ROI.
• Assess feasibility, value potential, implementation complexity, data readiness, operating model requirements, and adoption pathways.
• Partner with AI engineering, data engineering, platform/architecture, product, security/privacy/legal/compliance, and domain teams to ensure scalable, secure, governed, production-ready solutions.
• Establish reusable standards and frameworks for AI intake, prioritization, decomposition, value assessment, architecture review, and delivery readiness.
• Build, lead, and develop a high-performing AI solution architecture function.

Qualifications

Basic

• Doctorate with 4+ years, or Master’s with 6+ years, or Bachelor’s with 8+ years in AI/ML, data science, computer science, engineering, product, or technology strategy.
• 4+ years direct managerial experience (managing managers or senior technical leaders).

Preferred

• 12+ years AI/ML/data science/enterprise architecture/product/technology strategy leadership.
• Track record scaling enterprise AI with measurable ROI.
• Deep technical understanding of modern AI/ML, generative AI, MLOps, cloud architecture, APIs, and production AI.
• Ability to translate ambiguous business problems into solution architectures, plans, value cases, and adoption pathways.
• Experience decomposing large-scale cross-functional AI initiatives.
• Biotech/pharma/healthcare or regulated industry experience; familiarity with responsible AI, privacy/security/regulatory/model-risk.