AI Architect - Agentic AI & LLM Systems Lead

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 90,000 - 128,000; Full time

Job summary

Machine Learning Technologies LLC in Dallas, TX seeks an AI Architect to translate business problems into agent-driven solutions. You will design reference architectures for agentic AI systems, integrate LLMs with tools, and ensure scalable, cost-efficient deployments across Azure/AWS/GCP environments.

Role covers governance, risk guardrails, and advanced GenAI work with a focus on RAG, embeddings, and fine-tuning techniques.

Qualifications

• Deep expertise in LLMs, prompt engineering, and reasoning frameworks.
• Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel).
• Strong understanding of RAG, embeddings, and vector databases.
• Experience with fine-tuning techniques (LoRA / QLoRA) and evaluation strategies.
• Distributed systems, APIs, microservices, and cloud-native architectures.

Responsibilities

• Translate business problems into agent-driven solution blueprints and roadmaps.
• Define reference architectures for agentic AI systems (single-agent to multi-agent).
• Architect RAG-based and tool-augmented agents using enterprise data sources and APIs.
• Ensure scalability, observability, and cost optimization of AI platforms.
• Establish AI guardrails covering safety, bias, explainability, and auditability.

Job description

Machine Learning Technologies LLC in Dallas, TX seeks an AI Architect to translate business problems into agent-driven solutions. You will design reference architectures for agentic AI systems, integrate LLMs with tools, and ensure scalable, cost-efficient deployments across Azure/AWS/GCP environments.

Role covers governance, risk guardrails, and advanced GenAI work with a focus on RAG, embeddings, and fine-tuning techniques.