Principal Architect

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $144.4k - $195.4k / year

⏰ Full Time

🔴 Lead

🏛️ Architect

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Lead end-to-end design, development, and delivery of machine learning and Generative AI solutions • Drive architecture decisions across Databricks lakehouse platforms, Spark, and AWS/GCP/Azure ecosystems • Design and implement batch and streaming data pipelines, data models, ML workflows, multi-agent architectures, and autonomous decision-making systems • Build and optimize scalable ETL/ELT pipelines in Databricks • Define evaluation, validation, governance, safety, and compliance frameworks for ML/GenAI systems • Partner with business stakeholders and product leaders to translate objectives into measurable AI/ML solutions • Establish best practices in MLOps, LLMOps, DataOps, and DevOps, including CI/CD, monitoring, observability, reproducibility, and cost optimization • Architect and oversee scalable cloud-based data and AI platforms • Drive experimentation strategy, including A/B testing and prompt optimization • Mentor L4 and L5 engineers through design reviews, code reviews, and career guidance • Lead collaboration across data engineering, data science, platform engineering, and business teams • Drive adoption of advancements in data engineering and Generative AI/agentic systems

🎯 Requirements

• Doctorate degree and 2 years of experience, OR Master’s degree and 4 years of experience, OR Bachelor’s degree and 6 years of experience, OR Associate’s degree and 10 years of experience, OR high school diploma/GED and 12 years of experience • Deep expertise in machine learning, deep learning, and Generative AI • Experience delivering production-grade ML/GenAI systems end-to-end • Expertise in MLOps/LLMOps ecosystems, including MLflow, Kubeflow, Airflow, CI/CD, Docker, and Kubernetes • Proficiency with AWS, Azure, or GCP and cloud architecture principles • Experience with big data ecosystems, Apache Spark, Hadoop, and distributed data processing • Expertise building scalable data pipelines and platforms with Databricks, Spark, SQL, and Python • Proficiency in Python and modern ML/AI frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain • Experience designing evaluation and validation frameworks • Experience with RAG architectures, vector databases, and knowledge-grounded AI systems • Understanding of agentic AI frameworks, orchestration, planning, memory management, and tool integration • Foundation in statistical modeling, A/B testing, and causal inference • Experience with NLP, semantic search, embeddings, and vector search systems • Familiarity with Responsible AI practices, fairness, explainability, governance, and regulatory compliance • Experience with cloud-native AI/ML services and cost/performance optimization • Experience with Databricks Lakehouse • Experience with red-teaming, adversarial testing, and synthetic data generation • Experience with OLAP and OLTP data modeling and performance tuning • Cloud certifications are a plus

🏖️ Benefits

• Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance support

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