Senior Director, AI Solutions Architecture

🕒 il y a 18 jours

🇺🇸 États-Unis – Télétravail

💵 $230 332 - $311 625 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Amgen

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1980

🏥 Santé

🧬 Biotechnologie

💊 Pharmaceutique

💰 €28 500 000 000 Post-IPO Debt en 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen est un leader mondial de la biotechnologie, se concentrant sur le développement et la commercialisation de médicaments innovants issus de cellules vivantes. L'entreprise vise à traiter des maladies graves, ciblant souvent des affections avec peu d'options thérapeutiques. Amgen met l'accent sur l'innovation scientifique et s'engage dans la recherche éthique, la sécurité des patients et le développement durable. Elle participe activement aux essais cliniques et est reconnue pour ses contributions dans les domaines du traitement du cancer et de la gestion de l'obésité, entre autres.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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