Agentic AI Solution Architect - Remote

Ahura Workforce Solutions; United States; Remote; USD 180,000 - 240,000; Part time

Job summary

Ahura Workforce Solutions invites you to join a Remote, contract-to-hire role as Agentic AI Solution Architect for a leading telecom client. You will design and deploy Agentic AI applications and secure architectures using LangChain, LangGraph, LangMem, MCP servers, J-Frog, and Bright LLM gateways.

You should have 10–15 years of software experience, strong hands-on skills in Python, Rust, Go, Pydantic, and related AI tooling, and a track record building multi-agent systems.

Qualifications

• 10-15 years of overall software/technology experience.
• Strong hands-on experience with LangChain, LangGraph, LangMem, MCP servers, J-Frog, Bright LLM as gateway, observability and vulnerability, Python, Pydantic, Rust, Go.
• Strong experience designing and developing Agentic AI solutions.
• Experience with AI security / cybersecurity is highly preferred.
• Ideal candidates will have experience using Agentic AI to secure Agentic AI.

Responsibilities

• Design and architect Agentic AI solutions and architectures.
• Lead the design, development, and deployment of Agentic AI applications.
• Design agentic workflows, multi-agent systems, and AI-powered solutions.
• Lead the architecture and development of solutions focused on securing Agentic AI systems and AI agents.
• Design agentic workflows, multi-agent architectures, and MCP-enabled solutions.
• Define scalable and secure architectures for enterprise AI applications.

Skills

LangChain

LangGraph

LangMem

MCP servers

J-Frog

Bright LLM gateway

Python

Pydantic

Rust

Go

Agentic AI

AI security

Observability

Job description

Customer - Our customer is a telecommunication giant

Title - Agentic AI Solution Architect

Location: Remote

Type: Contract-to-Hire

Role Overview:

We are looking for an Agentic AI Solution Architect with strong expertise in Agentic AI LangChain, LangGraph, LangMem, MCP servers, J-Frog, Bright LLM as gateway to design and develop next-generation AI security solutions.

Key Responsibilities:

• Design and architect Agentic AI solutions and architectures.
• Lead the design, development, and deployment of Agentic AI applications.
• Design agentic workflows, multi-agent systems, and AI-powered solutions.
• Lead the architecture and development of solutions focused on securing Agentic AI systems and AI agents.
• Design agentic workflows, multi-agent architectures, and MCP-enabled solutions.
• Define scalable and secure architectures for enterprise AI applications.

Required Skills -

• 10-15 years of overall software/technology experience.
• Strong hands-on experience with Tools and technology LangChain, LangGraph, LangMem, MCP servers, J-Frog, Bright LLM as gateway, observability and vulnerability, Python, Pydantic, Rust, Go
• Strong experience designing and developing Agentic AI solutions.
• Experience with AI security / cybersecurity is highly preferred.
• Ideal candidates will have experience using Agentic AI to secure Agentic AI.