Agentic AI Architect
At a glance
Mid-level AI Engineering role at Inabia Software & Consulting. Columbus/Dallas/Atlanta · contract.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design and deploy enterprise AI architectures for chatbots, assistants and intelligent automation
- Build production agents that reason, plan, call tools and coordinate multi-step workflows
- Create shared AI platforms so business units can reuse models, prompts, tools and services
- Set architecture patterns and engineering rules for secure, dependable AI use across business areas
- Develop LLM chat experiences with Vertex AI, Dialogflow and modern AI frameworks
What you bring
- A track record of putting AI assistants, chatbots or autonomous agent platforms into production
- Deep knowledge of large language models and retrieval-augmented generation
- Experience shaping cloud-native systems and enterprise AI environments
- Proficiency with Vertex AI, Dialogflow and modern AI or machine-learning frameworks
- Experience with multi-agent design, workflow coordination, AI governance and enterprise integrations
Who this fits
This mid-level contractor role suits someone who has delivered production AI assistants or agents and can shape enterprise architecture and governance. It combines hands-on system design with standards-setting across varied business areas.
From the employer
Inabia is seeking an Agentic AI Architect to lead the design, development, and deployment of enterprise-scale Generative AI and Agentic AI solutions. This role requires deep expertise in designing enterprise AI ecosystems, enabling intelligent multi-agent workflows, and integrating AI solutions with enterprise systems at scale. The ideal candidate will establish governance, guardrails, and engineering standards to ensure scalable, secure, and reliable AI adoption across multiple business domains.
Responsibilities
- Design and implement enterprise-grade Generative AI and Agentic AI architectures supporting chatbot, assistant, and intelligent automation platforms.
- Architect and deploy production-ready AI agents and multi-agent systems capable of reasoning, planning, tool invocation, workflow orchestration, and autonomous task execution.
- Design scalable AI platforms enabling reuse of models, prompts, tools, and shared services across multiple business units and use cases.
- Define architecture standards, design patterns, and best practices for enterprise AI adoption.
- Design and develop LLM-powered chatbots and AI assistants using technologies such as Vertex AI, Dialogflow, and modern AI frameworks.
- Build conversational experiences for customer support, knowledge management, employee productivity, and operational workflows.
- Implement advanced prompt engineering strategies, prompt libraries, and optimization techniques to improve response quality and user experience.
Key Qualifications
- Proven track record of delivering AI assistants, chatbots, and autonomous agent platforms into production environments.
- Deep expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
- Experience designing cloud-native architectures and enterprise-scale AI ecosystems.
- Proficiency with Vertex AI, Dialogflow, and modern AI and ML frameworks.
- Strong background in multi-agent system design, workflow orchestration, and autonomous task execution.
- Experience establishing AI governance frameworks, guardrails, and engineering standards.
- Demonstrated ability to integrate AI solutions with enterprise systems across diverse business domains.
Preferred Qualifications
- Hands-on experience with advanced prompt engineering strategies and structured prompt library management.
- Background delivering conversational AI solutions for customer support, knowledge management, or employee productivity use cases.