Amgen
Senior Manager, Agentic AI Business Solutions
US - California - Thousand Oaks · Senior
Sponsorship not specifiedDetected 1 day ago
Machine LearningLLMsAgentic AIStakeholder ManagementResearchLeadershipCommunicationCollaboration
About the role
- Since 1980, we've helped pioneer the world of biotech in our fight against the world's 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.
Responsibilities
- Own the end-to-end execution of designated Agentic AI solutions, from intake through deployment, ensuring each phase-design, development, testing, and rollout-is completed to specification.
- Drive agile development cycles in collaboration with AI/ML and Engineering teams to ensure models and agents meet business needs and reliability standards.
- Coordinate internal readiness activities, including UAT, access setup, system integration, and documentation to support solution go-live.
- Partner with GCCI, Commercial Insights, and AI&D to ensure that Agentic AI use cases are correctly scoped, validated, and configured for maximum impact.
- Work cross-functionally to troubleshoot blockers and maintain delivery velocity across teams and workstreams.
- Collaborate with platform leadership to align solution rollout timing and messaging with broader program milestones.
- Partner with change enablement and analytics teams to track adoption metrics and gather user feedback post-deployment.
- In this vital role of Neural Nexus - Agentic AI Business Solutions, Senior Manager, you will be responsible for delivering prioritized Agentic AI solutions that support Amgen's commercial and GCCI functions.
- This role focuses on the full execution lifecycle-design, development, implementation, rollout, and training-ensuring solutions are deployed on time, on scope, and with measurable business value.
- You will partner closely with commercial insights, GCCI, AI&D, and technical teams to convert business needs into operational GenAI capabilities.
Requirements
- Doctorate degree and 2 years of commercial analytics and/or operationalizing GenAI solutions experience OR
- Master's degree and 4 years of commercial analytics and/or operationalizing GenAI solutions experience OR
- Bachelor's degree and 6 years of commercial analytics and/or operationalizing GenAI solutions experience OR
- Associate's degree and 10 years of commercial analytics and/or operationalizing GenAI solutions experience OR
- High school diploma / GED and 12 years of commercial analytics and/or operationalizing GenAI solutions experience
Nice to have
- Bachelor's degree and 6+ years of experience in commercial analytics and/or operationalizing GenAI solutions.
- Strong Technical Aptitude (AI/ML): Solid conceptual and practical understanding of Generative AI, agent architectures, development lifecycle, and technical delivery principles.
- Ability to coordinate across technical and business teams, translate complex requirements, and keep delivery on track under shifting priorities.
- Hands-on experience supporting commercial or field teams, ideally within a regulated enterprise setting.
- Comfortable operating in high-ambiguity, fast-paced, and cross-functional delivery environments.
- What you can expect of us
- Award-winning time-off plans
- careers.amgen.com
Compensation
- 155,747.20USD -210,716.80 USD
Benefits
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Flexible work models where possible.
- Provide status updates and delivery dashboards for assigned Agentic AI initiatives, focused on progress, risks, and delivery health.
- Flexible Commuter role to Thousand Oaks, CA office.
Visa & Work Authorization
- Sponsorship for this role is not guaranteed.
This listing is sourced directly from Amgen's careers page and normalized into a canonical job model.