Senior GenAI Architect — RAG, Agentic AI & Enterprise AI

Ampcus, Inc; Chantilly (VA); On-site; USD 180,000 - 260,000; Full time

Job summary

Ampcus, Inc. seeks a Senior AI Architect to lead design, development, and deployment of Generative AI and Agentic AI solutions in Chantilly, VA. You will drive RAG pipelines, vector databases, and enterprise knowledge strategies while shaping AI governance and platform standards.

Lead multi-agent systems, mentor engineers, and define roadmaps for LLMOps, SDLC automation, and scalable AI platforms across on-prem and cloud environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 12 years of overall software engineering experience.
• 5 years in AI/ML solution architecture.
• 2 years building production-grade Generative AI applications.
• Proven experience delivering enterprise-scale AI platforms.

Responsibilities

• Design and implement enterprise-scale Generative AI solutions using Large Language Models (LLMs).
• Architect advanced RAG-based systems incorporating vector databases, semantic search, enterprise knowledge repositories, and hybrid retrieval models.
• Define scalable AI architectures covering data ingestion, embeddings, retrieval, orchestration, guardrails, observability, and evaluation frameworks.
• Establish AI governance, security, compliance, and responsible AI practices.

Skills

AI architecture

LLMs

RAG pipelines

Agentic AI

Leadership

Stakeholder engagement

Python

Java/JS/TS

Education

Bachelor’s or Master’s in CS/AI/Engineering

Tools

LangChain

LangGraph

Cline

OpenAI Codex

Claude

CrewAI

AutoGen

Semantic Kernel

GitHub Copilot

Pinecone

Weaviate

Qdrant

Chroma

Azure OpenAI

Job description

Ampcus, Inc. seeks a Senior AI Architect to lead design, development, and deployment of Generative AI and Agentic AI solutions in Chantilly, VA. You will drive RAG pipelines, vector databases, and enterprise knowledge strategies while shaping AI governance and platform standards.

Lead multi-agent systems, mentor engineers, and define roadmaps for LLMOps, SDLC automation, and scalable AI platforms across on-prem and cloud environments.