What are the responsibilities and job description for the Senior Director, AI Solutions Architecture position at BioSpace?
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 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
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.
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 appropriate governance, transparency, privacy, security, and compliance considerations.
Communication: Operates fluently across technical and business audiences, translating complex AI concepts into clear recommendations and decisions.
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In Addition To The Base Salary, Amgen Offers a Total Rewards Plan, Based On Eligibility, Comprising Of Health And Welfare Plans For Staff And Eligible Dependents, Financial Plans With Opportunities To Save Towards Retirement Or Other Goals, Work/life Balance, And Career Development Opportunities That May Include
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
External/Internal Postings
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Amgen anticipates accepting applications until 9/08; however, we may continue accepting applications beyond this date if we do not receive a sufficient number of candidates.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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 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
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.
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 appropriate governance, transparency, privacy, security, and compliance considerations.
Communication: Operates fluently across technical and business audiences, translating complex AI concepts into clear recommendations and decisions.
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In Addition To The Base Salary, Amgen Offers a Total Rewards Plan, Based On Eligibility, Comprising Of Health And Welfare Plans For Staff And Eligible Dependents, Financial Plans With Opportunities To Save Towards Retirement Or Other Goals, Work/life Balance, And Career Development Opportunities That May Include
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
External/Internal Postings
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Amgen anticipates accepting applications until 9/08; however, we may continue accepting applications beyond this date if we do not receive a sufficient number of candidates.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.