Senior GenAI Architect - Enterprise AI & Autonomous Agents

Ampcus Inc

Chantilly (VA)

On-site

USD 170,000 - 250,000

Full time

22 hours ago
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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.

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