Senior Engineer- Ai ( Only for GC/ USC) Not for H1

Job title: AI Architect / Senior AI Engineer

Location: Morrisville, NC (onsite, Raleigh–RTP area) ( Onsite Role not remote)

Job type: Full-time

Our Client Details: Benchmark IT Solutions is a global technology consulting and software engineering company with over 20 years of experience delivering innovative digital solutions. We specialize in AI, Software Product Engineering, DevOps, Test Automation, Performance Engineering, Cloud, and Digital Transformation, serving clients across Healthcare, Banking & Financial Services, Insurance, and Martech. Learn more about us: Website

About the role:

We’re hiring for a hands-on AI engineering leader to join a global technology leader at their Raleigh–RTP campus. You’ll design and build multi-agent AI systems, Model Context Protocol (MCP) integrations, and an internal AI development platform used by engineering teams across the organization.

This role is ideal for a strong senior AI or software engineer ready to step up into architecture. You’ll write production code every day while shaping the technical direction of the platform, working alongside engineering teams and stakeholders.

What you’ll do:

Design and build multi-agent AI systems, including task delegation between agents, state management, and secure communication.

Build MCP servers and clients that securely connect large language models (LLMs) to enterprise data sources and developer tools.

Contribute to the architecture of an internal AI platform, with a focus on performance, low latency, and a smooth developer experience.

Write high-quality, production-ready code, build prototypes, and help set engineering best practices for AI development.

Write clear design documents, mentor engineers, and explain technical concepts to non-technical stakeholders.

What we’re looking for:

8–12 years of professional software engineering experience.

Strong programming skills in Python or Java.

Solid system design skills: you can break down complex problems, weigh trade-offs, and design services that hold up at scale.

Experience building and deploying on cloud platforms (AWS, Azure, or GCP), with Docker and Kubernetes.

Excellent written and verbal communication skills.

A bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience.

Nice to have:

Hands-on experience building LLM applications: RAG pipelines, vector databases, prompt engineering.

Experience with agent frameworks such as LangGraph, AutoGen, or CrewAI.

Experience with MCP, or with tool calling and function calling in LLM APIs.

Experience with TypeScript or Go.

Daily use of AI coding tools such as Claude Code, Cursor, or GitHub Copilot.

Work location and authorization:

This is an onsite role in Morrisville, NC. Candidates must live in the Raleigh–Durham–RTP area or be willing to relocate. Remote work is not available.

Candidates must be authorized to work in the United States without current or future visa sponsorship.