Senior Director, AI Solutions Architecture

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. 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.

Senior Director, AI Solution Architecture

What you will do

Let’s do this. Let’s change the world. In this vital role you will • 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 that connect business objectives, user needs, AI/ML methods, data assets, platform capabilities, integration needs, governance, and measurable ROI.
• •Assess technical feasibility, value potential, implementation complexity, data readiness, operating model requirements, and adoption pathways for proposed AI initiatives.
• •Partner with AI engineering, data engineering, platform, architecture, product, security, privacy, legal, compliance, and domain teams to ensure solutions are scalable, secure, governed, and production-ready.
• •Establish reusable standards and frameworks for AI solution intake, prioritization, solution decomposition, value assessment, architecture review, and delivery readiness.
• •Build, lead, and develop a high-performing AI solution architecture function with strong technical, product, business, and stakeholder-management capabilities.

Accountabilities

• •Enterprise AI solution architecture strategy aligned to Amgen’s scientific, business, technology, and product priorities.
• •High-quality solution decomposition for complex AI initiatives, including clear scope, architecture, delivery approach, value case, and implementation roadmap.
• •Translation of business opportunities into technically feasible, scalable, governed AI solutions that deliver measurable impact.
• •Prioritization of AI solution opportunities based on business value, feasibility, risk, adoption potential, and strategic alignment.
• •Consistent application of architecture standards, responsible AI practices, data readiness criteria, security requirements, and production-readiness expectations.
• •Cross-functional alignment across AI & Data Science, Technology, R&D, Operations, Commercial, Legal, Compliance, Privacy, Security, and business stakeholders.

Authority

• •Set standards for AI solution scoping, architecture review, value assessment, delivery readiness, and implementation planning.
• •Approve solution architecture approaches, decomposition frameworks, technical trade-offs, and delivery pathways for priority AI initiatives.
• •Guide build-versus-buy recommendations, vendor evaluations, platform alignment, and solution integration decisions in partnership with accountable technology and business leaders.
• •Represent AI Solution Architecture in executive forums, portfolio reviews, and cross-functional governance discussions.
• •Structure, hire, develop, and performance-manage the AI solution architecture team, including leaders and senior technical experts.

Output

• •Solution blueprints for priority AI initiatives, including business objectives, user outcomes, architecture design, data requirements, delivery approach, governance needs, and value measures.
• •Reusable solution patterns, intake frameworks, decomposition methods, and architecture standards that accelerate enterprise AI delivery.
• •Executive-ready decision materials that clearly communicate solution options, trade-offs, dependencies, investment needs, and business impact.
• •Measurable value realization across AI initiatives, including adoption, productivity, decision quality, operational efficiency, and ROI outcomes.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a Senior Director, AI Solution Architecture with these qualifications.

Qualifications

Basic Qualifications

• •Doctorate degree and 4 years of AI, machine learning, data science, computer science, engineering, product, technology strategy, or related experience; or
• •Master’s degree and 6 years of AI, machine learning, data science, computer science, engineering, product, technology strategy, or related experience; or
• •Bachelor’s degree and 8 years of AI, machine learning, data science, computer science, engineering, product, technology strategy, or related experience.
• •4+ years of direct managerial experience, including experience managing managers or senior technical leaders.

Preferred Qualifications

• •12+ years of experience in AI/ML, data science, enterprise architecture, product management, technology strategy, or related leadership roles.
• •Proven track record designing, scaling, or leading enterprise AI products, platforms, or solutions that delivered measurable business impact and ROI.
• •Deep technical understanding of modern AI/ML methods, generative AI, applied machine learning, data platforms, APIs, cloud architecture, MLOps, and production AI systems.
• •Demonstrated ability to translate ambiguous business problems into AI solution architectures, execution plans, value cases, and adoption pathways.
• •Experience decomposing large-scale, cross-functional AI initiatives into clear workstreams, delivery milestones, architecture decisions, and operating model requirements.
• •Strong business acumen, with experience connecting AI capabilities to product outcomes, operational performance, financial impact, and enterprise strategy.
• •Advanced technical degree in computer science, engineering, data science, applied mathematics, or related field preferred; MBA or equivalent business education strongly preferred.
• •Biotech, pharmaceutical, healthcare, or regulated industry experience preferred, with familiarity in responsible AI, privacy, security, regulatory, and model-risk considerations.

Competencies

• •Strategic Solution Thinking: Connects AI capabilities, business needs, user outcomes, and enterprise strategy into practical solution pathways.
• •Technical Credibility: Brings AI, data, architecture, and product depth to guide trade-offs and earn trust with technical teams.
• •Business Value Orientation: Focuses AI initiatives on measurable impact, adoption, ROI, and durable enterprise value.
• •Product Mindset: Frames AI solutions around user needs, workflow integration, scalability, and sustained product outcomes.
• •Enterprise Influence: Aligns senior stakeholders across functions and drives decisions in complex, cross-functional environments.
• •Solution Decomposition: Breaks ambiguous, large-scale AI opportunities into clear scope, architecture, workstreams, risks, and delivery plans.
• •Responsible AI Mindset: Ensures AI solutions are designed with a