Career CategoryInformation SystemsJob DescriptionJob DescriptionABOUT AMGENAmgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.ABOUT THE ROLERole SummaryPrincipal-level AIML Engineer responsible for designing and deploying advanced AI/ML systems with a strong focus on Reinforcement Learning (RL) and decision intelligence. Will act as a technical leader driving scalable AI solutions from research to production across enterprise platforms.Key ResponsibilitiesDesign and develop Reinforcement Learning models (RL, RLHF, multi-agent RL) for real-world decision-making problemsBuild and deploy scalable ML pipelines and production AI systems using MLOps best practicesArchitect end-to-end AI systems integrating RL with GenAI, LLMs, or agent-based frameworksLead development of agent-based / multi-agent AI systems for planning, reasoning, and automation Translate research concepts into production-grade, reliable ML systemsPartner with data scientists, engineers, and product teams to deliver enterprise AI solutionsEvaluate new AI techniques (RLHF, agentic systems, deep RL) and drive adoptionMentor engineers and provide technical leadership and architectural guidanceMust-Have SkillsStrong expertise in Reinforcement Learning (Deep RL, Policy Optimization, RLHF)Hands-on experience building production AI/ML systems at scaleStrong programming in PythonExperience with MLOps (MLflow, Kubeflow, SageMaker, etc.) Knowledge of Distributed Systems & Cloud (AWS/Azure/GCP)Experience in model deployment, monitoring, and lifecycle managementStrong understanding of ML/DL algorithms and optimization techniquesGood-to-HaveExperience with multi-agent systems / agentic AI frameworksExposure to LLMs, RAG, or Generative AI systemsExperience with simulation environments (Gym, RLlib, etc.)Background in optimization, control systems, or operations researchQualificationsBachelor’s or Master’s in Computer Science, AI, ML, or related field12 to 17 years experience in ML/AI engineering or related domains Behavioral / Leadership ExpectationsStrong technical leadership and mentoring capabilityAbility to translate complex AI concepts into business impactOwnership mindset with end-to-end delivery focusCollaboration across global teamsEQUAL OPPORTUNITY STATEMENTAmgen 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..