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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, AI Solution Architecture - **Company:** Amgens Mission Of Serving Patients - **Location:** United States - **Experience:** Expert - **Salary:** $230,332.0 - $311,626.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Information Engineering, Digital Assets, Machine Learning, Generative AI, Information Technology, Data Management, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/889aaf72-4258-4942-9f54-0fb5e1879d94 ## About the Role 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., 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. ## Description 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. 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