Enterprise AI architect

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

Job summary

Quantum Technologies. LLC in the United States seeks a senior enterprise AI architect to define and drive the company’s AI architecture strategy, reference architectures, technology standards, and implementation roadmaps.

You will design scalable, secure AI architectures and patterns using LLMs, Generative AI, traditional ML, and agentic AI, while collaborating with Enterprise, Solution, and Data Architects and business stakeholders.

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.

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.