AI Architect

Zensar Technologies; North Carolina; Hybrid; USD 150,000 - 230,000; Full time

Job summary

Zensar seeks a highly skilled Lead AI Systems Architect to design, build, and scale our next-generation AI ecosystem. You will lead the architecture of multi-agent frameworks, MCP integrations, and our internal AI platform, delivering production-grade software and robust scalability.

This role requires hands-on coding, deep technical expertise, and strong communication to align engineering teams and stakeholders across the North Carolina operations, with 3 days onsite per week.

Qualifications

• Experience: 10+ years of software architecture experience.
• 3+ years building and deploying production-grade LLM applications and AI systems.
• Deep understanding of multi-agent frameworks (e.g., LangGraph, AutoGen, CrewAI).
• Proven experience with Model Context Protocol (MCP) or similar context-sharing protocols.
• Proficiency in Python, TypeScript or Go; cloud native technologies (AWS/GCP/Azure) and modern AI SDKs.
• College/University degree or higher.

Responsibilities

• Design and implement multi-agent orchestration frameworks focusing on autonomous negotiation, task delegation, state management, and secure inter-agent communication.
• Architect and build scalable MCP servers and clients to securely connect LLMs to data sources, development tools, and enterprise environments.
• Drive the architectural vision for our internal AI development platform, ensuring high throughput, low latency, and seamless developer workflows for training, testing, and deploying models.
• Write production-ready code, build prototypes, and establish engineering best practices for AI application development.
• Mentor junior engineers and explain complex technical concepts to non-technical stakeholders clearly and effectively.

Skills

AI Architect

Multi-agent frameworks

Prompt engineering

LLM deployments

Technical leadership

Code writing

Education

College/University degree or higher

Tools

Python

TypeScript

Go

AWS

GCP

Azure

Kubernetes

Docker

Job description

Zensar is a leading digital solutions and technology services company partnering with global organizations on their digital transformation journey. A technology partner of choice, with strong track-record of innovation, credible investment in digital solutions and assertion of commitment to client’s success, Zensar’s comprehensive range of services and solutions enable clients achieve new thresholds of performance. Part of the $40 billion APAX Partners’ portfolio of companies, Zensar is uniquely positioned to help existing businesses run efficiently, manage legacy transformation and plan business growth through innovative digital platform. https://www.zensar.com

Working at Zensar

Working at Zensar is an enriching experience. While work is driven by innovation and passion, fun is taken seriously too. An open environment is encouraged making it easy to brainstorm with colleagues. Creative thinking is encouraged through time out activities. Moreover, the offices have been designed to foster creativity and communication, bringing a little bit of home into work every day. Zensar provides and a comprehensive benefit package for all fulltime employees.

Zensar is seeking an AI Architect Role-RTP, North Carolina -(3 days/week onsite).This is open for Full time with excellent benefits and Contract Role as well with outstanding growth opportunities.

Role Overview:

We are seeking a highly skilled, hands-on Lead AI Systems Architect to design, build, and scale our next-generation AI ecosystem. In this role, you will lead the architecture and implementation of Agent-to-Agent frameworks, Model Context Protocol (MCP) integrations, and our proprietary AI development platform.

This is not a purely theoretical role. You must be deeply technical, actively writing code, and capable of translating complex AI research into robust, production-grade software. As a key bridge between engineering teams and stakeholders, you must also possess exceptional communication skills to articulate technical vision and drive cross-functional alignment.

Core Responsibilities:

• Agent-to-Agent Architecture: Design and implement multi-agent orchestration frameworks, focusing on autonomous negotiation, task delegation, state management, and secure inter-agent communication.
• MCP Integration: Architect and build scalable Model Context Protocol (MCP) servers and clients to securely connect LLMs to data sources, development tools, and enterprise environments.
• AI Platform Development: Drive the architectural vision for our internal AI development platform, ensuring high throughput, low latency, and seamless developer workflows for training, testing, and deploying models.
• Hands-on Engineering: Write high-quality, production-ready code, build prototypes, and establish engineering best practices for AI application development.
• Technical Leadership & Communication: Standardize architectural patterns across the organization. Mentor junior engineers and explain complex technical concepts to non-technical stakeholders clearly and effectively.

Required Qualifications & Skills:

• Experience: 10+ years of software architecture experience, with at least 3+ years of dedicated, hands-on experience building and deploying production-grade LLM applications and AI systems.
• AI & Agentic Expertise: Deep understanding of multi-agent frameworks (e.g., LangGraph, AutoGen, CrewAI), prompt engineering, RAG pipelines, and vector databases.
• Protocol & API Mastery: Proven experience with Model Context Protocol (MCP) or designing similar context-sharing and tool-calling protocols for GenAI.
• Technical Stack: Proficiency in Python, TypeScript, or Go, along with cloud native technologies (AWS/GCP/Azure, Kubernetes, Docker) and modern AI SDKs.
• Communication: Outstanding verbal and written communication skills, with a proven ability to lead technical discussions and author comprehensive architecture RFCs.
• Education: College/University degree or higher

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