Senior Director, AI Solutions Architecture

BioSpace; Washington (District of Columbia); On-site; USD 210,000 - 320,000; Full time

Job summary

Amgen seeks a Senior Director of AI Solution Architecture to define and drive the company’s AI strategy across R&D, operations, and commercial functions. You will lead a team to translate complex business needs into scalable AI products and platforms, ensuring governance, data readiness, and measurable ROI.

The role requires deep AI expertise, strong leadership, and a track record of delivering enterprise-wide AI solutions that impact growth and patient outcomes.

Qualifications

• Doctorate/Masters/Bachelors in AI/ML/DS/CS/Engineering or related field required/preferred.
• 4+ years of direct managerial experience, including managing managers or senior technical leaders.
• MBA or equivalent business education strongly preferred.

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.
• Develop solution blueprints connecting business objectives, user needs, AI/ML methods, data assets, and governance.
• Assess feasibility, value potential, implementation complexity, data readiness, and adoption pathways for proposed AI initiatives.
• Partner with AI engineering, data engineering, platform, architecture, product, security, privacy, legal, and compliance teams to ensure scalable, secure, and production-ready solutions.
• Establish reusable standards and frameworks for AI solution intake, prioritization, and delivery readiness.

Skills

AI/ML

Data Science

Enterprise Architecture

Product Management

Technology Strategy

Leadership

Education

Doctorate in AI/ML/DS/CS/Engineering or related field

Masters in AI/ML/DS/CS/Engineering or related field

Bachelors in AI/ML/DS/CS/Engineering or related field

MBA or equivalent business education (preferred)

Job description

Join Amgens Mission of Serving Patients

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll 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

Lets do this. Lets change the world. In this vital role you will Define and lead Amgens 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 Amgens 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 You 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
• Masters degree and 6 years of AI, machine learning, data science, computer science, engineering, product, technology strategy, or related experience; or
• Bachelors 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.