Lead Architect: Autonomous AI Agents & MCP Integrations

Aspire Systems; Irving (TX); Hybrid; USD 160,000 - 170,000; Full time

Benefits offered by this job

Medical / Life Insurance

Paid holidays

FSA & HSA

401(k) plan and contributions

Aspire's Reward & Recognition program

Job summary

Aspire Systems is seeking an Agentic AI Lead to design, build, and deploy autonomous AI systems. You will develop self-reasoning agents that operate within a Microservices Architecture and connect LLMs to enterprise data sources using the Model Context Protocol (MCP).

Responsibilities include translating needs into technical specs, architecting multi-agent systems, developing MCP tooling, and integrating with Docker/Kubernetes-based microservices.

Qualifications

• 10+ years of experience in AI/ML or software architecture.
• Strong background in building autonomous agents and orchestration systems.
• Experience with MCP or similar data-connectivity protocols.

Responsibilities

• Translate client business problems into technical product specs.
• Communicate limitations and propose architectures.
• Design and deploy multi-agent systems with autonomous planning and execution.
• Build MCP servers/clients to expose data securely to LLMs.
• Wrap AI agents and RAG engines into modular microservices using Docker/Kubernetes.
• Orchestrate tools, APIs, and production databases for LLMs.
• Evaluate and optimize agentic workflows for efficiency.

Skills

Python

TypeScript

LangGraph

CrewAI

AutoGen

LangChain

Model Context Protocol

REST/API design

Distributed systems

Tools

Docker

Kubernetes

AWS

GCP

Azure

Kafka

RabbitMQ

LLM Tooling

Vector databases

Job description

Aspire Systems is seeking an Agentic AI Lead to design, build, and deploy autonomous AI systems. You will develop self-reasoning agents that operate within a Microservices Architecture and connect LLMs to enterprise data sources using the Model Context Protocol (MCP).

Responsibilities include translating needs into technical specs, architecting multi-agent systems, developing MCP tooling, and integrating with Docker/Kubernetes-based microservices.