AI Architect: Enterprise GenAI & Agent Platforms

Robotic Technologies Automation; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Robotic Technologies Automation seeks a senior AI Architect to translate business needs into agent-driven solutions. You will design RAG-based agents, leverage LangGraph/AutoGen, and collaborate with stakeholders to identify high‑impact use cases across automation and decision support.

You will guide enterprise deployment, ensure scalability and cost efficiency, and establish guardrails for safety and compliance in a cloud environment.

Qualifications

• Deep expertise in LLMs, prompt engineering, and reasoning frameworks.
• Hands‑on experience with agentic frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel).
• Strong understanding of RAG, embeddings, vector databases, and knowledge grounding.
• Experience with fine‑tuning techniques (LoRA/QLoRA) and evaluation strategies.
• Proficiency in Python and familiarity with enterprise integration patterns.
• Experience with cloud platforms (Azure, AWS, GCP) and secure enterprise deployments.

Responsibilities

• Translate business problems into agent‑driven solution blueprints.
• Partner with senior stakeholders to identify high‑impact use cases (automation, decision support, quality, operations).
• Provide executive‑level guidance on agentic AI adoption and roadmaps.
• Architect RAG‑based and tool‑augmented agents using enterprise data sources and APIs.
• Ensure scalability, observability, and cost optimization of agent platforms.
• Establish AI guardrails covering safety, bias, explainability, auditability, and regulatory compliance.

Skills

LLMs & prompt engineering

Reasoning frameworks

Python

RAG & embeddings

Cloud platforms

Enterprise integration

LoRA/QLoRA tuning

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

Custom agent orchestration

Job description

Robotic Technologies Automation seeks a senior AI Architect to translate business needs into agent-driven solutions. You will design RAG-based agents, leverage LangGraph/AutoGen, and collaborate with stakeholders to identify high‑impact use cases across automation and decision support.

You will guide enterprise deployment, ensure scalability and cost efficiency, and establish guardrails for safety and compliance in a cloud environment.