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DS

US_East | DATA ARCHITECT / DATA OFFICER_L3

Datum Software, Inc
  • 🇮🇱 Israel
  • On-site
  • Staff / Principal
  • 3 months ago
  • AI
  • AI/ML
  • LangChain
  • Semantic Kernel
  • AutoGen
  • CrewAI
  • Azure OpenAI
  • OpenAI
  • RAG
  • CRM
  • ERP
  • Python
  • FAISS
  • Pinecone
  • Azure AI
  • Azure
  • AWS
  • GCP
  • Microservices
  • Event-Driven Architecture
  • OAuth
  • Model Context Protocol
  • MCP
  • MLOps
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Role Name: Agentic AI Architect
Location: Charlotte


 
Role Summary
We are seeking a highly experienced Agentic AI Architect to lead the design and implementation of enterprise-scale agentic AI solutions. This role is responsible for defining architecture, guiding development teams, and ensuring scalable, secure, and high-performing AI systems leveraging LLMs, multi-agent frameworks, and enterprise integrations.
The ideal candidate brings deep expertise in AI/ML, strong architectural design capability, and proven experience delivering complex, production-grade AI solutions.
 
Key Responsibilities:
  • Define end-to-end architecture for agentic AI solutions, including multi-agent systems, orchestration layers, and integrations
  • Design and implement scalable agent frameworks using tools such as LangChain, Semantic Kernel, AutoGen, CrewAI, etc.
  • Lead development of LLM-driven systems (Azure OpenAI, OpenAI, Anthropic, etc.) with robust prompt engineering strategies
  • Architect RAG pipelines, memory systems, and tool integration layers
  • Establish best practices for AI governance, security, and Responsible AI
  • Design integration strategies with enterprise systems (CRM, ERP, APIs, data platforms)
  • Provide technical leadership, mentorship, and code quality oversight to development teams
  • Collaborate with business stakeholders to translate requirements into technical solutions
  • Ensure performance, scalability, reliability, and cost optimization of AI systems
  • Drive innovation by evaluating emerging AI technologies and frameworks
 
Required Skills & Experience:
  • 10+ years of experience in software engineering, AI/ML, or solution architecture
  • Strong expertise in Python and modern backend architecture
  • Hands-on experience with LLM ecosystems and agent frameworks
  • Proven experience designing multi-agent systems and distributed architectures
  • Deep understanding of:
    • Prompt engineering and LLM optimization
    • Embeddings and vector databases (FAISS, Pinecone, Azure AI Search, etc.)
    • Retrieval-Augmented Generation (RAG)
  • Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)
  • Strong knowledge of API design, microservices, and event-driven architecture
  • Familiarity with security, authentication (OAuth, SSO), and data governance
  • Experience leading technical teams and driving architecture decisions
 
Good to Have:
  • Experience with Model Context Protocol (MCP) or similar integration standards
  • Exposure to enterprise AI transformation programs
  • Knowledge of MLOps / LLMOps frameworks
  • Experience with frontend or conversational UI frameworks
  • Certifications (Azure AI Engineer, Solutions Architect, etc.)
 
 
"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran”
 
 
 

US_East | DATA ARCHITECT / DATA OFFICER_L3 · Datum Software, Inc

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