Enterprise AI Architect: Gen AI, LLMs & Scalable Systems

Valiant Technologies LLC; Plano (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Valiant Technologies LLC is seeking an experienced AI Architect to lead design and implementation of enterprise AI solutions. You will define strategy, architect scalable AI systems, and work with stakeholders to translate business requirements into robust AI-driven applications.

The role demands hands-on technical leadership, deep expertise in Generative AI, LLMs, and MLOps, and the ability to guide teams through production-grade deployments across complex environments.

Qualifications

• 15+ years of overall technology experience.
• Hands-on technical and architecture leadership.
• Experience delivering production-grade AI solutions at scale.
• Ability to align AI strategy with business goals.

Responsibilities

• Define enterprise AI architecture strategies, roadmaps, and standards.
• Design scalable, secure AI/ML solutions for enterprise applications.
• Lead development of LLM-based applications, including RAG, embeddings, and vector databases.
• Oversee agentic AI solutions with autonomous agents, tool calling, and orchestration.
• Evaluate foundation models and AI frameworks to meet business requirements.
• Collaborate with data scientists, engineers, cybersecurity, and enterprise architects.
• Establish AI governance, security, privacy, and model risk management.
• Drive MLOps/LLMOps practices including deployment, monitoring, and continuous improvement.
• Mentor AI engineers and data scientists; lead architecture reviews and proofs of concept.

Skills

Generative AI

LLMs

Agentic AI

Machine Learning

Cloud-native architectures

Enterprise application integration

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Job description

Valiant Technologies LLC is seeking an experienced AI Architect to lead design and implementation of enterprise AI solutions. You will define strategy, architect scalable AI systems, and work with stakeholders to translate business requirements into robust AI-driven applications.

The role demands hands-on technical leadership, deep expertise in Generative AI, LLMs, and MLOps, and the ability to guide teams through production-grade deployments across complex environments.