Sr. Manager- AI Platform Lead

Join Amgen's Mission to Serve Patients

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

Sr. Manager- AI Platform Lead 

Live

What you will do

We are developing an Enterprise AI Platform to help all employees build, deploy, and manage AI and agentic solutions. The Senior Manager — AI Platform Lead will set the technical direction and oversee delivery of platform initiatives, supporting both low/no-code and pro-code development. This role is also responsible for building and maintaining a product that manages the catalog, lifecycle, and operations of MCPs, agents, and agentic applications.

This is a hands-on technical leadership role — you will define architecture and standards, evaluate vendor/OSS choices, own platform reliability & cost characteristics, and lead a team of engineers working with product owners and principal engineers to evolve and operate these platforms.

Win

What we expect of you

• Provide technical leadership and clear, pragmatic product-centric architecture for our AI platforms
• Translate product and business requirements into scalable platform capabilities (agent hosting, LLM serving, gateway/integration architecture, observability and operations).
• Drive platform decisions around LLM serving (model endpoints, caching, batching, latency vs. cost tradeoffs), AI Gateways (routing, policy, rate-limiting, auditing), and agent hosting patterns (single/multi-tenant, sandboxing, lifecycle).
• Own platform reliability, scalability and cost: define SLIs/SLOs, capacity planning, cost attribution and FinOps practices.
• Collaborate with Product Owners, Principal Engineers and stakeholders to define the roadmap, acceptance criteria, and delivery milestones.
• Lead, coach and grow a high-performing engineering team focused on platform services, integrations (low/no-code tooling such as n8n, and pro-code agent hosting frameworks like AgentCore or equivalents), CI/CD for agents/models, and marketplace features.
• Establish standards for security, compliance and model governance (data handling, access controls, logging and auditability), particularly for regulated environments.
• Be hands-on when needed — prototype architectures, review designs, troubleshoot production incidents, and participate in code/design reviews.

Basic Qualifications:

• Bachelor's degree in computer science, Engineering, or equivalent practical experience with a total 12-17 years of industry experience.
• 8+ years of engineering experience building/platforming cloud services or developer platforms, with 3+ years leading engineering teams or technical programs.
• Proven experience designing and operating cloud-native platforms (Kubernetes, containers, microservices, service meshes).
• Hands-on experience with LLM serving or model-serving patterns (hosting models, request routing, batching, scaling, latency/cost tradeoffs) — or adjacent experience (large-scale inference endpoints, model CI/CD).
• Practical knowledge of API/Gateway patterns, authentication/authorization, and secure integrations.
• Familiarity with cost attribution and FinOps concepts for compute/AI workloads and toolchains for measuring and controlling model/agent costs.
• Strong track record working with product managers and senior technical stakeholders to deliver platform capabilities and roadmaps.
• Excellent communication skills: able to explain technical tradeoffs to technical and non-technical audiences.
• Experience with observability and SRE practices (metrics, tracing, logging, incident management). 

Preferred Qualifications:

• Master’s degree (or equivalent) in a technical discipline.
• Direct experience with agentic-AI platforms, agent hosting frameworks (e.g., AgentCore or similar), and low/no-code orchestration platforms (e.g., n8n or comparable workflow builders).
• Familiarity with LLM ecosystems (OpenAI/Anthropic/Google/Meta deployments, LLM orchestration libraries and tools) and experience with model governance frameworks.
• Experience implementing or operating AI Gateways, policy/routing layers or centralized model access control and auditing.
• Experience with FinOps tooling (Kubecost, cloud cost tools) and implementing cost-allocation models for platform customers.
• Experience in a regulated industry (pharmaceuticals, biotech, healthcare, finance) and understanding of compliance requirements around data handling and audit trails.
• Familiarity with AWS ecosystem and internal enterprise tools is a plus (helpful for faster onboarding into existing integrations).
• Experience shipping developer experience features (SDKs, CLI, templates, documentation) that increase adoption and reduce onboarding time. 

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to handle multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now

for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

careers.amgen.com

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.