8 llmops engineer jobs at 8 companies in Carson, CA

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AI Engineer Lead
Irvine, California, United States
$179k-$287k/yr OnsiteFull Time
Capital Group
Capital Group: Providing active investment management and research-driven financial strategies
10+ YOE10+ years software engineering experience, strong Python, hands-on LLM/LLMOps and RAG production experience, system design, eval-driven development, security/privacy controls, and bachelor’s degree or equivalent.
Python, MLOps, LLMOps, FinOps, IAM, SOC 2
1mo
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Senior AI Engineer
Morristown or Glendale or New York City
$140k-$190k/yr OnsiteFull Time
Coaction Specialty Insurance
Coaction Specialty Insurance: Provides specialty property and casualty insurance for commercial businesses.
5+ YOE5+ years building production systems; proficiency in Python/C#/Java; experience with LLMs, RAG, embeddings, vector DBs, ML/LLMOps; cloud experience (AWS/Azure); strong engineering hygiene and AI risk/security awareness.
Python, C#, Java, LLMs, ML APIs, RAG, embeddings, vector databases, REST, JSON, AWS, Azure, CI/CD, MLOps, LLMOps
1w
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Senior Data Engineer, GTM
Mountain View or Chicago or Irvine or New York City
$156k-$227k/yr OnsiteFull Time
Google
GoogleNASDAQ: GOOGL: Provides online search, advertising, cloud computing, and consumer electronics.
5+ YOEBachelor's degree or equivalent and 5+ years coding in Python and SQL, 5+ years MLOps/LLMOps and data pipeline design for unstructured text and ML workflows.
Python, SQL, Google Colaboratory (Colab), TensorFlow, Tensor Processing Units (TPUs)
1mo
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Information Technology - Principal Platform Engineer, Enterprise AI Enablement
Vancouver or Seattle or Toronto or New York City or Los Angeles
OnsiteFull Time
Aritzia
AritziaToronto Stock Exchange: ATZ: Designs and sells everyday luxury women's clothing and accessories.
Deep enterprise AI and platform architecture experience, LLMOps/MLOps, AI guardrails and observability, vector DBs and data orchestration, vendor evaluation, and cross-functional leadership for enterprise AI enablement.
Azure AI Studio, AWS Bedrock, Google Cloud Vertex AI, LLMOps, MLOps, RAG
1mo
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Principal Software Engineer
Tampa or Thousand Oaks
$157k-$212k/yr HybridFull Time
Amgen
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
2+ YOEDeep expertise in ML/Generative AI, MLOps/LLMOps, cloud platforms, and scalable system architecture; proven track record delivering production-grade ML systems; advanced proficiency in Python and modern ML frameworks; degree + experience combinations required.
MLflow, Kubeflow, Airflow, CI/CD, Docker, Kubernetes, AWS, GCP, Azure, Python, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, Hadoop, Apache Spark, Apache Airflow, OLAP, OLTP
1w
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Director, Enterprise Architecture
Burlington or San Francisco or Los Angeles
$195k-$270k/yr RemoteFull Time
HERE Technologies
HERE Technologies: Provides digital mapping data and location-based software services.
8+ YOE15+ years experience leading enterprise architecture and AI transformation, cloud and distributed systems expertise, people management, governance and cross-functional influence.
LLMOps, MLOps
1mo
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Director, Data Engineering & AI
Chicago or Dallas or Los Angeles or Minneapolis or New York or San Francisco or Seattle or Washington, D.C.
$200k-$250k/yr HybridFull Time
West Monroe
West Monroe: Business and technology consultancy specializing in digital transformation.
10+ YOE10+ years in client-facing consulting; deep data platform expertise (Databricks, GCP, Snowflake); AI data engineering and scalable data architectures; travel 30-50%; hybrid work arrangement.
Databricks, GCP, Snowflake, AWS, Azure, MLOps, LLMOps
1mo
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Director, Data Science & AI Engineering
Nashville or Washington D.C. or Los Angeles or San Francisco or New York City
$290k-$440k/yr OnsiteFull Time
Pillsbury Winthrop Shaw Pittman
Pillsbury Winthrop Shaw Pittman: International law firm providing comprehensive legal and strategic advisory.
10+ YOE10+ years data science/AI leadership; production AI/ML, LLMs, RAG, MLOps; strong architecture and governance; strategic and hands-on.
LLMs, RAG, vector databases, embeddings, hybrid search, Model Context Protocol (MCP), prompt engineering, MLOps, LLMOps, CI/CD, cloud infrastructure, data warehouses, BI dashboards