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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
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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Distinguished AI Engineer
Richmond or Indianapolis or Walnut Creek or Seattle or Grand Prairie or Winston-Salem or Chicago or Atlanta or Miami or Nashville or Tampa or Woburn or Norfolk
$231k-$417k/yr HybridFull Time
15+ YOEBachelor's in CS/IT (or equivalent) and 15+ years software engineering experience; production AI/ML, LLM and agentic systems experience; strong Python/Java skills; APIs, microservices, cloud, CI/CD and DevOps experience required.
Python, Java, APIs, microservices, event-driven architectures, cloud platforms, CI/CD, DevOps, MLOps, LLMOps, Large Language Models (LLMs), agentic systems, distributed systems
1mo
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Software Development Engineer, Sponsored Products and Brands
Seattle, Washington, United States
$144k-$194k/yr OnsiteFull Time
3+ YOE3+ years professional software development, 2+ years design/architecture experience, proficiency in at least one programming language; experience with distributed systems, GenAI/LLM products preferred; Bachelor's in CS preferred.
Large Language Models, LLMOps, Gen AI, Amazon Search
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
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
4w
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Senior Manager, Center of Expertise
Seattle or Washington or United States
$189k-$351k/yr RemoteFull Time
8+ YOE4+ Mgmt8+ years in technical customer success/solutions engineering, 4+ years people management, deep expertise in data protection and cyber resilience, familiarity with AI/ML and cloud platforms, strong executive communication and coaching skills.
Veeam Data Platform (VDP), Veeam Data Cloud (VDC), Vault, Kasten, AWS, Azure, GCP, Kubernetes, Terraform, Pulumi, LLMOps, vector databases, NIST CSF, CIS Controls, Zero Trust Architecture, SOC 2, GDPR, HIPAA, FedRAMP, LinkedIn Learning, O’Reilly