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This listing doesn't post a salary. Most similar roles pay
$169,550–$220,800.
Based on 240 similar postings.
Employer
About Amgen
Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals
Amgen currently has
76 open roles
on FindRole.
Listed pay typically runs
$136,906–$185,227
across 45 roles with salary data.
The Principal Software Engineer joins the information systems team to lead the end-to-end design, development, and delivery of machine learning and Generative AI solutions. This role involves building and scaling production-grade ML pipelines, designing advanced agentic AI systems with multi-agent architectures, and establishing governance frameworks for safety and hallucination mitigation. The engineer will act as a technical owner for large-scale initiatives, ensuring scalability and reliability while mentoring L4 and L5 engineers. Key technologies include Python, PyTorch, TensorFlow, Hugging Face, LangChain, and Databricks. The role requires proficiency in MLOps, LLMOps, and DevOps using tools like MLflow, Kubeflow, Airflow, Docker, and Kubernetes across AWS, GCP, or Azure. The work focuses on creating robust data architectures and scalable cloud-based platforms to support enterprise-scale AI workloads.
What does a Software Engineer earn in California?
Median $214500 from 1193 postings across 76 companies.
Lead the end-to-end design, development, and production deployment of machine learning and Generative AI solutions.
Act as the technical owner for large-scale ML initiatives, driving architecture decisions for scalability and maintainability.
Design and implement advanced agentic AI systems featuring multi-agent architectures and autonomous decision-making workflows.
Define and institutionalize evaluation, validation, and governance frameworks for model performance, safety, and compliance.
Establish and enforce best practices in MLOps, LLMOps, and DevOps, including CI/CD and cost optimization.
Architect and oversee scalable cloud-based ML platforms leveraging AWS, GCP, or Azure.
Provide technical leadership and mentorship to junior and mid-level engineers through design and code reviews.
Design and implement robust data architectures and platforms to support ML operations and data integrity.
What we're looking for
Must have a Doctorate with 2 years of experience, a Master’s with 4 years, a Bachelor’s with 6 years, an Associate’s with 10 years, or a high school diploma with 12 years.
Deep expertise in machine learning, deep learning, and Generative AI including LLMs, transformers, embeddings, and fine-tuning techniques.
Proven track record of leading and delivering production-grade ML/GenAI systems end-to-end with measurable business impact.
Expertise in MLOps/LLMOps ecosystems including MLflow, Kubeflow, Airflow, CI/CD, Docker, and Kubernetes.
Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions and cloud architecture principles.
Proven ability to mentor and guide junior and mid-level engineers.
Degree in computer science, Statistics, and Data Science preferred.
Master’s degree and 6+ years experience or Bachelor’s degree and 8+ years’ experience preferred.
Python
AI
ML
LLM APIs
Vertex AI
SageMaker
Bedrock
Vector Databases
AWS
GCP
Java
TypeScript
Node.js
Spring
React
Angular
SwiftUI
Kotlin
Distributed Systems
Agent Orchestration
Video Coding
AV1
AV2
AVC
HEVC
VVC
Deep Learning
Computer Vision
C++
Python
gStreamer
Docker
REST APIs
XML
JSON
Git
GitHub
ABR Algorithms
Video Processing