Senior Director, AI Solutions Architecture

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $230.3k - $311.6k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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