Senior AI Architect – Agentic AI / RAG / LangGraph

Houston, TX, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
$65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Architect
  • Solution Architect
  • Enterprise AI
  • Agentic AI
  • Generative AI
  • GenAI
  • LangChain
  • LangGraph
  • RAG
  • Retrieval Augmented Generation
  • Large Language Models
  • LLM
  • AI Agents
  • Multi-Agent Systems
  • Vector Databases
  • Embeddings
  • Prompt Engineering
  • LLM Optimization
  • .NET
  • REST API
  • Cloud Architecture
  • AI Integration
  • Enterprise Architecture
  • Workflow Orchestration
  • Technical Leadership

Summary

Senior AI Architect – Agentic AI / RAG / LangGraph

Location: Houston, TX (Local Candidates Only)

Work Mode: Onsite

Experience: 14+ Years

Contract Type: C2C

Rate: $65/hour on C2C

Interview Mode: In-Person

Job Description

We are seeking an experienced Senior AI Architect to design, develop, and implement scalable enterprise AI solutions. The ideal candidate will have strong hands-on experience with Agentic AI, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs), along with expertise in enterprise application integration.

The role requires a technically strong architect who can lead AI solution design, guide development teams, and integrate modern AI capabilities into existing enterprise systems.

Key Responsibilities

  • Design and implement enterprise AI solutions using LangChain, LangGraph, Agentic AI, and RAG frameworks.

  • Develop scalable RAG pipelines integrating LLMs with structured and unstructured enterprise data.

  • Architect intelligent AI agents supporting reasoning, planning, tool execution, and multi-agent workflows.

  • Integrate AI solutions with .NET applications, REST APIs, databases, and cloud platforms.

  • Lead architecture discussions, technical design reviews, and development best practices.

  • Optimize LLM performance, vector databases, embeddings, prompt engineering, response accuracy, security, and cost.

  • Collaborate with engineering teams and business stakeholders to deliver production-ready AI solutions.

Required Qualifications

  • 14+ years of overall IT experience with significant enterprise architecture and AI solution development experience.

  • Strong hands-on expertise in LangChain, LangGraph, Agentic AI, and RAG.

  • Proven experience designing and deploying enterprise-grade LLM applications.

  • Experience developing AI agents, multi-agent systems, and workflow orchestration.

  • Strong knowledge of vector databases, embeddings, prompt engineering, and LLM optimization.

  • Experience integrating AI solutions with .NET, REST APIs, and enterprise applications.

  • Strong understanding of cloud architecture, scalability, performance, and security.

  • Experience providing technical leadership and architecture guidance.

Additional Requirements

  • Must be currently located in Houston, TX.

  • Must be available to work onsite.

  • Must be available for an in-person interview.

  • Strong communication, problem-solving, and technical leadership skills.

Skills 

AI Architect, Solution Architect, Enterprise AI, Agentic AI, Generative AI, GenAI, LangChain, LangGraph, RAG, Retrieval Augmented Generation, Large Language Models, LLM, AI Agents, Multi-Agent Systems, Vector Databases, Embeddings, Prompt Engineering, LLM Optimization, .NET, REST API, Cloud Architecture, AI Integration, Enterprise Architecture, Workflow Orchestration, Technical Leadership

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91175610
  • Position Id: 9135561
  • Posted 4 hours ago
Contact the job poster
DN

Dean Neil

Recruiter @ TECHAGI SOLUTIONS LLC

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