Agentic AI Architect

American IT Systems

San Jose (CA)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

American IT Systems is seeking an experienced Agentic AI Architect to design and implement scalable AI-agent solutions for enterprise use cases. The architect will define AI architecture, agent orchestration, LLM integrations, and enterprise-grade AI platforms while ensuring security, scalability, reliability, and responsible AI practices.

You will collaborate with engineering, product, security, and client teams to translate business requirements into scalable AI solutions and provide technical

Qualifications

  • Experience in designing agentic AI architectures for enterprise use cases.

Responsibilities

  • Design Agentic AI architectures using LLMs, AI agents, RAG, and tool calling.

Skills

Generative AI
Agentic AI
LLMs
RAG
AI architecture

Tools

Python
LangChain
LangGraph
AutoGen
CrewAI
OpenAI/Azure OpenAI
Pinecone

Job description

Agentic AI Architect

Location: San Joe, CA
Role Type: AI / GenAI Architecture


Job Description

Seeking an experienced Agentic AI Architect to design and implement scalable AI-agent solutions for enterprise use cases. The architect will define AI architecture, agent orchestration, LLM integrations, and enterprise-grade AI platforms while ensuring security, scalability, reliability, and responsible AI practices.


Key Responsibilities
  • Design Agentic AI architectures using LLMs, AI agents, RAG, and tool/function calling.
  • Develop multi-agent workflows and agent orchestration frameworks.
  • Integrate LLMs with enterprise applications, APIs, databases, and knowledge sources.
  • Design RAG pipelines, vector databases, prompt engineering, and AI evaluation frameworks.
  • Work with AWS/Azure/GCP, Kubernetes, APIs, Python, and modern AI/ML platforms.
  • Establish security, governance, observability, and responsible-AI standards.
  • Collaborate with engineering, product, security, and Cisco client teams to convert business requirements into scalable AI solutions.
  • Provide technical leadership and mentor AI/ML engineering teams.

Required Skills
  • Strong experience in Generative AI, Agentic AI, LLMs, RAG, and AI architecture.
  • Hands-on Python and API/microservices development.
  • Experience with LangChain, LangGraph, AutoGen, CrewAI or similar agent frameworks.
  • Knowledge of OpenAI/Azure OpenAI, Anthropic, or other LLM platforms.
  • Experience with vector databases such as Pinecone, Milvus, Weaviate, or OpenSearch.
  • Strong cloud, Kubernetes, CI/CD, security, and enterprise architecture knowledge.
  • Excellent communication and stakeholder-management skills.

Preferred
  • Experience delivering AI solutions for large enterprise/networking or technology organizations.
  • Knowledge of Cisco technologies, networking, cybersecurity, and enterprise IT environments.
  • Experience with MLOps/LLMOps, AI observability, model evaluation, and responsible AI.
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