GenAI Architect: RAG Pipelines & Enterprise AI Platform

Ampcus Inc; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Ampcus Inc. is seeking a senior AI/engineering lead to own end-to-end client delivery and technical direction for an agentic AI platform.

You will translate business requirements into architecture covering RAG pipelines, MCP connectors, and hybrid orchestration across multiple systems, while coordinating with offshore engineers and client stakeholders. Responsibilities include driving integration strategies, MCP design, RAG decisions, and governance participation to ensure successful delivery.

Qualifications

• 12+ years software/AI engineering and enterprise AI or agentic system design experience.
• Hands-on with LlamaIndex or LangChain and vector stores (Pinecone).
• Strong API integration skills (REST, OAuth) and MCP/LLM agent design experience.
• Experience guiding offshore AI/ML teams and coordinating with client stakeholders.

Responsibilities

• Lead architecture across AI layers: RAG, MCP connectors, and agent orchestration.
• Define integration strategy leveraging client APIs to minimize custom build.
• Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB.
• Make RAG pipeline decisions: chunking, embeddings, retrieval, re-ranking.
• Collaborate with client IT stakeholders to validate use cases.
• Oversee offshore AI/ML engineers and data engineers.

Skills

RAG pipelines

LangChain

LlamaIndex

Pinecone

Azure OpenAI

REST API

OAuth

MCP design

Stakeholder mgmt

Offshore leadership

Tools

Appian

ERP

DealCloud

Backstop

Snowflake

Graph DB

FASTMCP

Job description

Ampcus Inc. is seeking a senior AI/engineering lead to own end-to-end client delivery and technical direction for an agentic AI platform.

You will translate business requirements into architecture covering RAG pipelines, MCP connectors, and hybrid orchestration across multiple systems, while coordinating with offshore engineers and client stakeholders. Responsibilities include driving integration strategies, MCP design, RAG decisions, and governance participation to ensure successful delivery.