AI Architect

Akaasa Technologies

San Antonio (TX)

Hybrid

USD 150,000 - 230,000

Full time

7 days ago
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Job summary

Akaasa Technologies in San Antonio, TX is seeking an AI Architect to design and oversee enterprise AI solutions, focusing on secure, scalable deployments across cloud platforms. You will lead the integration of LLMs, orchestration frameworks, and governance practices to drive responsible AI outcomes.

The role requires deep expertise in AI architectures, MLOps, and modern cloud services, with a hybrid onsite schedule and collaboration across teams to deliver production-grade AI systems.

Qualifications

  • Proven enterprise AI architecture experience.
  • Experience with large language models across major providers (OpenAI, GPT, Claude).
  • Experience deploying AI solutions to production environments.
  • Familiarity with MLOps and LLMOps practices.
  • Strong cloud experience with Azure and/or AWS.

Skills

Enterprise AI architecture
Large Language Models
Agentic AI frameworks
Retrieval-Augmented Generation
LangChain
Model Context Protocol
Azure OpenAI/AWS Bedrock
AI Governance
MLOps/LLMOps
CI/CD/DevOps
Terraform
Production deployment of AI solutions

Tools

Terraform and infrastructure automation

Job description

AI Architect

San Antonio, TX (Hybrid - 3 days onsite)

Required Experience
  • Enterprise AI architecture experience.
  • Large Language Models (OpenAI, GPT, Claude, etc.).
  • Agentic AI frameworks and orchestration.
  • Retrieval-Augmented Generation (RAG) and Graph RAG.
  • LangChain and/or LangGraph.
  • Model Context Protocol (MCP).
  • Azure OpenAI and/or AWS Bedrock.
  • AI Governance and Responsible AI practices.
  • MLOps / LLMOps.
  • CI/CD pipelines and DevOps practices.
  • Terraform and infrastructure automation.
  • Experience taking AI solutions from concept through production deployment.
Preferred Qualifications
  • Experience automating SDLC processes using AI.
  • Strong cloud architecture background in Azure and/or AWS.
  • Experience with low-code/no-code AI solutions.
  • Proven success leading enterprise AI transformation initiatives.
  • Strong stakeholder communication and architecture leadership skills.
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