Senior Director, AI Solutions Architecture

🕒 Setembro 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $230.332 - $311.625 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Amgen

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1980

🏥 Saúde

🧬 Biotecnologia

💊 Farmacêutico

💰 $28.500.000.000 Post-IPO Debt em 2022-12

Healthcare • Biotechnology • Pharmaceuticals

A Amgen está comprometida a liberar o potencial da biologia para pacientes que sofrem de doenças graves, descobrindo, desenvolvendo, fabricando e fornecendo terapias humanas inovadoras. Esta abordagem começa utilizando ferramentas como genética humana avançada para desvendar as complexidades das doenças e entender os fundamentos da biologia humana.

Descrição

• Define and lead Amgen’s enterprise AI solution architecture strategy • Translate complex business needs into scalable AI products, platforms, and capabilities • Co-create AI solutions with stakeholders across R&D, Operations, Commercial, and corporate functions • 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, platforms, integrations, governance, and ROI • Assess technical feasibility, value potential, complexity, data readiness, operating models, and adoption pathways • Partner with engineering, data, platform, architecture, product, security, privacy, legal, compliance, and domain teams • Establish reusable standards and frameworks for AI solution intake, prioritization, decomposition, value assessment, architecture review, and delivery readiness • Build, lead, and develop the AI solution architecture function • Set standards and approve architecture approaches, frameworks, trade-offs, and delivery pathways • Guide build-versus-buy recommendations, vendor evaluations, platform alignment, and integration decisions • Represent AI Solution Architecture in executive forums and governance discussions • Structure, hire, develop, and performance-manage the AI solution architecture team • Produce solution blueprints, reusable patterns, executive decision materials, and measurable value realization across AI initiatives

🎯 Requisitos

• 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 such experience; or Bachelor’s degree and 8 years of such 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 preferred • Proven track record designing, scaling, or leading enterprise AI products, platforms, or solutions with measurable business impact and ROI preferred • Deep technical understanding of modern AI/ML methods, generative AI, applied machine learning, data platforms, APIs, cloud architecture, MLOps, and production AI systems preferred • 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 workstreams, milestones, architecture decisions, and operating model requirements • Strong business acumen connecting AI capabilities to product outcomes, operational performance, financial impact, and enterprise strategy • Biotech, pharmaceutical, healthcare, or regulated industry experience preferred • Familiarity with responsible AI, privacy, security, regulatory, and model-risk considerations preferred

🏖️ Benefícios

• Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance support