Senior Enterprise AI Architect — LLMs & Agentic AI

Valiant Technologies LLC; San Diego (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Valiant Technologies LLC is seeking a senior AI Architecture lead to define and evolve enterprise-wide AI standards and reference architectures in San Diego. You will design scalable AI systems, govern context management, and optimize RAG-based retrieval and knowledge graphs.

You will collaborate with multiple architect teams and stakeholders to align AI initiatives with business goals, evaluating tech stacks and delivering architecture decision records and design specs.

Qualifications

• Experience defining enterprise-wide AI architecture strategy and standards.
• Ability to design scalable, secure AI architectures aligned with business objectives.
• Familiarity with LLMs, Generative AI, traditional ML and agentic AI capabilities.

Responsibilities

• Define and establish AI architecture strategy, reference architectures, technology standards, and roadmaps.
• Design scalable, secure, resilient AI architectures aligned with business objectives.
• Define enterprise AI adoption patterns leveraging LLMs, Generative AI, traditional ML, and agentic AI capabilities.
• Evaluate AI tech stacks, frameworks, platforms, and capabilities.
• Collaborate with Enterprise/Data/ Solution Architects and stakeholders to align AI initiatives.
• Develop context assembly pipelines to retrieve, filter, rank, enrich, and organize information for LLMs.

Skills

AI architecture

Enterprise AI

LLM integration

RAG patterns

LangGraph

AutoGen

Semantic Kernel

CrewAI

ADR documentation

HLD/LLD

Context management

Knowledge graph

Tools

LangGraph

AutoGen

Semantic Kernel

CrewAI

Job description

Valiant Technologies LLC is seeking a senior AI Architecture lead to define and evolve enterprise-wide AI standards and reference architectures in San Diego. You will design scalable AI systems, govern context management, and optimize RAG-based retrieval and knowledge graphs.

You will collaborate with multiple architect teams and stakeholders to align AI initiatives with business goals, evaluating tech stacks and delivering architecture decision records and design specs.