multi-agent-orchestration jobs in San Diego

Design, develop, and optimize machine learning systems for production AI platforms, focusing on model development, inference optimization, and scalable ML infrastructure. Responsibilities include building ML pipelines and frameworks, optimizing model inference for latency and cost, integrating LLMs into APIs and microservices, and designing data pipelines for preprocessing and feature engineering.…See more The role requires strong software engineering fundamentals combined with deep ML expertise, working across PyTorch/TensorFlow, model-serving systems, distributed computing, and GPU environments.

As Product Success Technical Director for AI Adoption Engineering at ServiceNow, you will own escalation resolution and architecture consulting for the company's most complex agentic AI deployments. You'll diagnose and stabilize at-risk customer go-lives, design resilient agentic architectures (LLM integration, RAG, multi-agent orchestration, guardrails, governance), and serve as the technical authority for customer executives during high-stakes moments.…See more You'll mentor the team, codify reusable playbooks and reference architectures, and act as a strategic conduit between field escalations and Product/Engineering to turn hard-won patterns into scalable capability.

Staff Engineer or Architect role focused on building and orchestrating AI agents in a compliance-heavy, globally regulated environment. You will troubleshoot novel failures across models, tools, and infrastructure; set technical vision; and leverage LLMs, RAG, tool use, and agent frameworks (LangGraph, CrewAI, AutoGen) in production systems.…See more Requires 8+ years of software engineering experience, hands-on LLM and agent-framework work, end-to-end ownership, and demonstrated ability to use AI agents effectively in your own workflow while maintaining accountability and clear mental models of system behavior.