Senior GenAI Architect - Enterprise AI & Autonomous Agents

Ampcus Inc; Chantilly (VA); On-site; USD 170,000 - 250,000; Full time

Job summary

Ampcus Inc. is seeking a Senior AI Architect to lead design, development, and deployment of Generative AI and Agentic AI solutions. You will define AI strategy, architect enterprise-grade platforms, and guide engineering teams across GenAI, LLMOps, and intelligent agent ecosystems.

The role requires hands-on leadership and deep expertise in RAG pipelines, vector databases, and AI governance. You will collaborate with stakehold ers to translate business challenges into scalable AI outcomes.

Qualifications

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

Responsibilities

• Design and implement enterprise-scale Generative AI solutions using Large Language Models (LLMs).
• Architect advanced RAG-based systems with vector databases, semantic search, and knowledge repositories.
• Define scalable AI architectures covering data ingestion, embeddings, retrieval, orchestration, guardrails, observability, and evaluation frameworks.
• Establish AI governance, security, compliance, and responsible AI practices.
• Design multi-agent and Agentic AI solutions capable of planning, reasoning, tool usage, and workflow orchestration.

Skills

AI Architecture

GenAI

RAG

Agentic AI

LLMs

LangChain

Python

Claude

LangGraph

CrewAI

AutoGen

Semantic Kernel

Tool Calling

Function Calling

Agent Memory

GPT-4/5

Azure OpenAI

Pinecone

Weaviate

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field

Tools

Azure

OpenAI

Jenkins

Terraform

MLflow

Weights & Biases

Cosmos DB

Job description

Ampcus Inc. is seeking a Senior AI Architect to lead design, development, and deployment of Generative AI and Agentic AI solutions. You will define AI strategy, architect enterprise-grade platforms, and guide engineering teams across GenAI, LLMOps, and intelligent agent ecosystems.

The role requires hands-on leadership and deep expertise in RAG pipelines, vector databases, and AI governance. You will collaborate with stakehold ers to translate business challenges into scalable AI outcomes.