Enterprise AI architect

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Roles and responsibilities :

• Define and establish enterprise-wide AI architecture strategy, reference architectures, technology standards, and implementation roadmaps.
• Design scalable, secure, resilient, and interoperable AI architectures aligned with enterprise business objectives.
• Define enterprise AI adoption patterns leveraging LLMs, Generative AI, traditional ML, and agentic AI capabilities.
• Evaluate AI technology stacks, frameworks, platforms, and emerging AI capabilities.
• Collaborate with Enterprise Architects, Solution Architects, Data Architects, and business stakeholders to align AI initiatives with enterprise architects
• Develop context assembly pipelines to dynamically retrieve, filter, rank, enrich, and organize information before passing it to LLMs.
• Establish context management strategies covering short-term memory, long-term memory, conversational history, session context, and persistent enterprise knowledge.
• Design context window optimization techniques to maximize relevance while minimizing token consumption and inference costs.
• Implement advanced RAG patterns such as Advanced and hierarchical RAG, GraphRAG, Agentic RAG, Multi-hop retrieval, Hybrid retrieval and reranking, and Knowledge graph-based retrieval
• Architect single-agent and multi-agent systems using frameworks such as LangGraph, AutoGen, Semantic Kernel, and CrewAI.
• Develop architecture decision records (ADRs), solution architecture documents, HLDs, LLDs, and technical design specifications.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.