AI Solutions Architect

J
JobgetherArtificial Intelligence
Based in United States, required overlap with US time zonesContractSenior
Salary not disclosed
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Job Details

Experience
10+ years of experience in software engineering or machine learning architecture, with at least 5 years focused on enterprise AI solutions.
Required Skills
Artificial IntelligenceMachine LearningLLMLangChain

Requirements

  • 10+ years of experience in software engineering or machine learning architecture.
  • At least 5 years of experience focused on enterprise AI solutions.
  • Proven experience designing and deploying multi-agent AI platforms for production-scale workloads.
  • Expertise in conversational AI systems, session management, and context handling.
  • Hands-on experience architecting scalable RAG pipelines including retrieval and ranking strategies.
  • Experience working with multiple LLM providers (OpenAI, Claude/Bedrock, Gemini, open-source models).
  • Experience designing intent classification and routing systems.
  • Strong cloud architecture experience (AWS, GCP, or Azure).
  • Experience with AI orchestration frameworks such as LangGraph, LangChain, or LlamaIndex.
  • Familiarity with self-hosted model serving and cost optimization.
  • Understanding of AI security, governance, compliance, and responsible AI principles.

Responsibilities

  • Review existing AI initiatives and help establish a unified AI platform strategy.
  • Design reference architectures for multi-agent orchestration, intent classification, and routing frameworks.
  • Define strategies for managing AI context, token optimization, and conversation memory.
  • Architect Retrieval-Augmented Generation (RAG) solutions including ingestion and retrieval optimization.
  • Establish AI governance practices for prompt management, monitoring, and version control.
  • Define resiliency patterns for LLM-powered applications including cost management and observability.
  • Establish AI safety standards covering security, privacy, and hallucination mitigation.
  • Collaborate with stakeholders to create implementation roadmaps and guide execution.
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