Enterprise AI Architect: Generative & Agentic Systems

Veridian Tech Solutions, Inc.; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Veridian Tech Solutions, Inc. is seeking an AI Solutions Architect to lead the strategy, architecture, and design of complex enterprise AI and Generative AI solutions.

You will partner with leadership to define the AI vision and work with engineering teams on scalable architecture, agentic AI, and multi-agent workflows. The role requires deep expertise in GCP, ML, RAG, knowledge graphs, and MCP integrations, with hands-on Python development and a track record of delivering enterprise-grade AI

Qualifications

• Must have extensive experience in AI solutions architecture for enterprise-scale systems.
• Strong hands-on and strategic architecture skills across AI platforms and cloud.
• Deep expertise in agentic and multi-agent AI, including A2A communication and orchestration.
• Proficient in Python development and building scalable AI/ML solutions on GCP.

Responsibilities

• Lead strategy, architecture, and design of enterprise AI and Generative AI solutions.
• Architect conversational AI platforms with complex workflows and enterprise integrations.
• Design agentic and multi-agent architectures, including agent-to-agent transactions and orchestration.
• Develop RAG architectures leveraging enterprise data for context and retrieval.
• Utilize knowledge graphs to enhance reasoning and information retrieval.
• Guide ML/Generative AI initiatives across business use cases.
• Apply MCP to securely connect AI agents with enterprise tools and data.
• Deploy AI/ML solutions on Google Cloud Platform with scalable services.
• Lead technical strategy discussions with senior stakeholders.
• Translate business requirements into clear AI solution designs and roadmaps.
• Evaluate AI technologies and architectures to recommend best-fit approaches.
• Establish best practices for AI scalability, security, governance, and responsible AI.
• Provide technical leadership to engineering, data science, and platform teams.
• Develop prototypes in Python to validate architectural concepts.

Skills

GCP Generative AI

LLMs

Agentic AI

Multi-Agent / A2A

Conversational AI

RAG

Knowledge Graphs

Machine Learning

Python

Enterprise AI Architecture

Document AI

GCP Architecture

Job description

Veridian Tech Solutions, Inc. is seeking an AI Solutions Architect to lead the strategy, architecture, and design of complex enterprise AI and Generative AI solutions.

You will partner with leadership to define the AI vision and work with engineering teams on scalable architecture, agentic AI, and multi-agent workflows. The role requires deep expertise in GCP, ML, RAG, knowledge graphs, and MCP integrations, with hands-on Python development and a track record of delivering enterprise-grade AI