Senior AI Architect — Enterprise Generative AI

Robotic Technologies Automation; Plano (TX); On-site; USD 210,000 - 270,000; Full time

Job summary

Robotic Technologies Automation is seeking an experienced AI Architect to lead the design and implementation of enterprise-scale AI solutions across the organization. The role requires deep expertise in Generative AI, LLMs, and Agentic AI, with strong hands-on architecture leadership to deliver production-grade AI systems.

You will collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into robust AI-driven applications, define AI strategy, and

Qualifications

• 15+ years of technology experience in enterprise AI.

Responsibilities

• Define and lead enterprise AI architecture strategies, roadmaps, and standards.
• Design scalable, secure AI/ML and Generative AI solutions for enterprise applications.
• Lead the architecture and implementation of LLM-based applications (RAG, embeddings, vector DBs, semantic search).
• Architect Agentic AI solutions with autonomous agents, tool calling, orchestration, planning, and workflow automation.
• Evaluate foundation models, LLM platforms, AI frameworks, and technologies based on business needs.
• Collaborate with data engineering, ML, DevOps, app development, cybersecurity, and enterprise architecture teams.
• Lead architecture reviews, technical design discussions, PoCs, and technology evaluations.
• Provide technical leadership and mentorship to AI engineers, ML engineers, data scientists, and development teams.
• Drive transition of prototypes into production-grade enterprise solutions.

Job description

Robotic Technologies Automation is seeking an experienced AI Architect to lead the design and implementation of enterprise-scale AI solutions across the organization. The role requires deep expertise in Generative AI, LLMs, and Agentic AI, with strong hands-on architecture leadership to deliver production-grade AI systems.

You will collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into robust AI-driven applications, define AI strategy, and