Amgen
Biotechnology
SpecialistSoftwareEngineer-AISystems
Neural analysis suggests this role is
optimal for Senior candidates.
“Specialist Software Engineer - AI Systems at Amgen. Skills: Agentic AI systems, Cloud-native software, ML-enabled solutions, Large language models. Design agentic AI systems. Develop scalable software applications”
What You'll Achieve.
Deliver secure, reliable, and maintainable AI-enabled software solutions; Accelerate AI solution delivery; Achieving team goals
Industry & Context.
problem-solving; analytical and troubleshooting skills
What They're Looking For.
Must Have
hands-on software engineering experience with Python, JavaScript/TypeScript, SQL/NoSQL, APIs, and cloud-native application development, Experience building or integrating applications with generative AI, LLMs, agentic workflows, RAG patterns, or AI orchestration frameworks, Working knowledge of ML lifecycle concepts, including model deployment, evaluation, monitoring, versioning, and automation, Experience with CI/CD, testing, containerization, observability, and production-grade software delivery, problem-solving, communication, collaboration, and technical ownership skills
Nice to Have
Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks, Experience with vector databases, embeddings, semantic search, reranking, prompt engineering, fine-tuning, or LLM evaluation, Experience with MLOps tools such as MLflow, SageMaker, Databricks, Kubeflow, Airflow, or similar platforms, Familiarity with serverless, microservices, event-driven architecture, Kubernetes, or managed cloud AI/ML services, Knowledge of responsible AI, model governance, human-in-the-loop workflows, security, privacy, and regulated environments, Cloud Computing certificate
What You'll Do.
Design agentic AI systems
Develop scalable software applications
Integrate large language models
Build AI-enabled workflows
Implement retrieval-augmented generation
Operationalize machine learning models
Apply MLOps practices
Develop reusable components
Define cloud architectures
Implement observability
Evaluate agent performance
How You'll Work.
Team & Collaboration
Work closely with product teams; Collaborate with data scientists; Partner with ML engineers; Engage with platform teams; Liaise with business stakeholders; Work effectively with global, virtual teams
Communication Scope
problem-solving; communication; collaboration; verbal and written communication skills; presentation and public speaking skills
Process & Methodology
Ability to manage multiple priorities successfully
Full Job Description
## **Career Category** Information Systems ## ## **Job Description** ** _ABOUT AMGEN_** Amgen 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 ROLE_** ** _Role Description:_** We are seeking a highly skilled and experienced **Senior Software Engineer** with strong experience in designing, configuring, and building **agentic AI systems** , cloud-native software applications, and ML-enabled solutions. In this role, you will develop scalable software systems that leverage large language models, intelligent agents, workflow orchestration, APIs, cloud services, and MLOps practices. The ideal candidate combines strong software engineering fundamentals with practical experience in AI/ML systems, including agent frameworks, retrieval-augmented generation, model integration, evaluation, deployment, monitoring, and automation. You will work closely with product teams, data scientists, ML engineers, platform teams, and business stakeholders to deliver secure, reliable, and maintainable AI-enabled software solutions. **_Roles & Responsibilities:_** * Design, configure, and build agentic AI systems that can reason, plan, use tools, execute workflows, and interact with enterprise systems. * Develop scalable software applications and services using modern cloud-native architectures. * Integrate large language models, APIs, databases, vector stores, and orchestration frameworks into production-ready applications. * Build and maintain AI-enabled workflows using agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or similar technologies. * Implement retrieval-augment
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