AI Solutions Architect for Enterprise AI Agents

Akaasa Technologies

United States

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Diiiploy is seeking an AI Solution Architect to build and deploy AI agents for mid-market enterprise clients within AWS, Azure, and Google Cloud. You will stand up containerized environments, configure connections and MCPs, write prompts, and QA-tune before production.

You will handle full-stack development tasks, integrate LLM APIs, manage containers, and design scalable data flows. The role emphasizes collaboration with Trevor on architecture and requires strong communication and hands-on

Qualifications

  • LinkedIn Page is required.
  • Experience with multiple cloud platforms (AWS, Azure, Google Cloud).
  • Background in enterprise/B2B environments with understanding of security constraints, access request delays, sandbox vs. production.
  • Familiarity with agent frameworks (LangChain, CrewAI, Claude Code agents, or custom).
  • Strong communication skills.

Responsibilities

  • 1. Agent Builds (Primary): Spin up containers (sandboxed environments) for AI agents; Configure MCP connections, API integrations, and data connectors; Write and refine agent prompts based on PRD specifications; Connect agents to client data sources (databases, CRMs, email, cloud storage); Run 7-day minimum QA tuning periods; Deploy agents to production and monitor post-launch; Debug and resolve post-production issues.

Skills

Multi-cloud platforms
Enterprise/B2B experience
Agent frameworks
Communication
Docker

Tools

Docker

Job description

Diiiploy is seeking an AI Solution Architect to build and deploy AI agents for mid-market enterprise clients within AWS, Azure, and Google Cloud. You will stand up containerized environments, configure connections and MCPs, write prompts, and QA-tune before production.

You will handle full-stack development tasks, integrate LLM APIs, manage containers, and design scalable data flows. The role emphasizes collaboration with Trevor on architecture and requires strong communication and hands-on

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