Machine Learning Engineer, AI Studio
CAREER LEVEL:GCF 4 – Senior Associate
CAREER TRACK:Individual Contributor
PRIMARY SCOPE:Independent ownership of defined production ML/AI components
ORGANIZATION:Applied AI | AI Studio
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases and make people’s lives easier,fullerand longer. We discover, develop,manufactureand deliver innovative medicines to help millions of patients. Amgen helpedestablishthe biotechnology industry more than 40 years ago andremainsat thecutting edgeof innovation, using technology and human genetic data to push beyond what is known today.
TheMachine Learning Engineeroffers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company toidentifythe right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecyclefrom early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact.You will independently own defined production components within enterprise AI products and automation solutions.
Your remit may include a model or inference service, data or knowledge pipeline, retrievalcomponent, agent tool, evaluation module, API,workflowor monitoring capability. You will design, release, diagnose and support thecomponentwhile connecting technical measures to user and workflow outcomes. Within Applied AI, AI Studio turns prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation,observabilityand lifecycle operations.
Roles & Responsibilities:
Definecomponentboundaries, intended use, acceptance criteria, non-functional requirements, decision consequences, support expectations and technical estimates with product and architecture partners.
Design and implement maintainable Python, SQL, API, data, model, retrieval, agent-tool and workflow components with clear contracts, configuration, testing, errorhandlingand documentation.
Apply EDA, feature engineering, supervised or unsupervised methods, baselines, cross-validation, leakage prevention, calibration, subgroup, threshold, explainability and error analysis where relevant.
Build GenAI, NLP, RAG and bounded agent components using structured output, embeddings, hybrid search, reranking, provenance, citations, permissions, approvals, retries and recoverable failurebehavior.
Engineer batch or event-driven data, document, feature, embedding, label and evaluation pipelines with schema validation, lineage, provenance, accesscontroland consistency checks.
Define representative evaluation for model quality, uncertainty, retrieval, grounding, citations, task success, tool correctness, safety, latency,costand user impact.
Advanced GenAI and knowledge systems: Experience withLangChain,LangGraph,LlamaIndex, Semantic Kernel,AutoGen,CrewAI, hybrid retrieval, knowledge graphs, graphRAGor evidence verification.
Cloud, data andMLOps: Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, infrastructure as code,MLflow, Airflow, Kubeflow or GitHub Actions.
Agents and human-AI workflows: Familiarity with MCP-style integration, agent tracing, adversarial testing, durable workflows, permissions, human review, BI or process automation.
Regulated enterprise delivery: Experience in healthcare, life sciences,GxP, validated systems or another regulated or high-impact environment.
Strong collaboration with business SMEs, product, architecture, software, data, platform,evaluationand control partners.
EQUAL OPPORTUNITY STATEMENT
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, disability status, or any other basis protected by applicable law.
