LEAD AI SYSTEMS ARCHITECT — 15+ YEARS | W2 ONLY

ReignMarkconsultingservices; North Carolina; Presencial; USD 150 000 - 210 000; Tempo integral

Resumo da oferta

ReignMarkconsultingservices seeks a senior, hands-on AI Systems Architect to design and build production-grade GenAI systems in a demanding enterprise setting. The role requires 15+ years of software experience and an expert architect who can still write production code.

This architect-level position (W2 only) emphasizes MCP, LLM architecture, and multi-agent tooling, with leadership across engineering teams and strong communication with stakeholders.

Qualificações

• 15+ years of overall software/technology experience.
• Strong Software Architecture / Solutions Architecture background.
• 3+ years of hands-on experience building and deploying production-grade LLM/GenAI applications.
• Hands-on MCP (Model Context Protocol) experience - building or integrating MCP servers/clients.
• Strong experience with LLM application architecture.
• Hands-on experience with RAG, vector databases, prompt engineering, and tool/function calling.
• Experience with one or more agentic frameworks such as LangGraph, AutoGen, or CrewAI.
• Strong programming experience in Python, TypeScript, or Go.
• Strong cloud-native architecture experience with AWS, Azure, or GCP.
• Hands-on experience with Kubernetes and Docker.
• Experience designing scalable, secure, high-throughput AI platforms.
• Ability to create and communicate architecture diagrams, technical designs, and architecture RFCs.
• Excellent communication skills with the ability to work directly with engineering and business stakeholders.

Responsabilidades

• Architect and implement Agent-to-Agent / multi-agent AI systems.
• Design agent orchestration, task delegation, state management, and secure inter-agent communication.
• Architect and build MCP servers and clients connecting LLMs with enterprise data, APIs, tools, and development environments.
• Define architecture for an internal AI development platform.
• Design systems for scalability, reliability, security, performance, and low latency.
• Build prototypes and production-quality code.
• Establish reusable architecture patterns and engineering standards for AI applications.
• Lead technical architecture discussions and mentor engineering teams.
• Translate complex AI concepts into practical, enterprise-ready solutions.

Conhecimentos

Architecture design

Python/TypeScript/Go

Kubernetes/Docker

LLM/GenAI experience

Communication

Cloud architecture

Agent frameworks

Ferramentas

MCP

LangGraph

AutoGen

CrewAI

AWS

Azure

GCP

Descrição da oferta de emprego

We are seeking a senior, hands-on AI Systems Architect with 15+ years of overall software/technology experience and a strong track record designing and building production-grade AI/GenAI systems.

This is an ARCHITECT-LEVEL position - W2 ONLY.

Candidates with less than 15 years of overall experience will NOT be considered.

This is not a Data Scientist, ML Engineer, AI Developer, or Research-only position. We are specifically looking for an experienced Software/AI Architect who has personally designed complex systems and can still write production code.

MUST-HAVE QUALIFICATIONS

• 15+ years of overall software/technology experience
• Strong Software Architecture / Solutions Architecture background
• 3+ years of hands-on experience building and deploying production-grade LLM/GenAI applications
• Hands-on MCP (Model Context Protocol) experience - building or integrating MCP servers/clients
• Strong experience with LLM application architecture
• Hands-on experience with RAG, vector databases, prompt engineering, and tool/function calling
• Experience with one or more agentic frameworks such as LangGraph, AutoGen, or CrewAI
• Strong programming experience in Python, TypeScript, or Go
• Strong cloud-native architecture experience with AWS, Azure, or GCP
• Hands-on experience with Kubernetes and Docker
• Experience designing scalable, secure, high-throughput AI platforms
• Ability to create and communicate architecture diagrams, technical designs, and architecture RFCs
• Excellent communication skills with the ability to work directly with engineering and business stakeholders

WHAT YOU WILL DO

• Architect and implement Agent-to-Agent / multi-agent AI systems
• Design agent orchestration, task delegation, state management, and secure inter-agent communication
• Architect and build MCP servers and clients connecting LLMs with enterprise data, APIs, tools, and development environments
• Define architecture for an internal AI development platform
• Design systems for scalability, reliability, security, performance, and low latency
• Build prototypes and production-quality code
• Establish reusable architecture patterns and engineering standards for AI applications
• Lead technical architecture discussions and mentor engineering teams
• Translate complex AI concepts into practical, enterprise-ready solutions

THIS ROLE IS NOT A FIT FOR

Please DO NOT APPLY if your background is primarily:

• Data Science / Analytics
• Traditional Machine Learning without significant LLM/GenAI application development
• Prompt Engineering only
• AI/ML Research only
• Junior/Mid-level AI Engineers
• Front-End or Full-Stack development without significant AI architecture experience
• Architecture without recent hands-on coding
• Less than 15 years of overall experience
• Less than 3 years of hands-on production GenAI/LLM experience
• No practical MCP or equivalent tool/context protocol experience