Gen AI Architect

ROLE Gen AI Architect

OVERVIEW:

At NewVision, we are helping our enterprise client build next-generation AI platforms that integrate enterprise tools, workflows, and business capabilities into a unified intelligent ecosystem.

We are looking for a hands-on Gen AI Architect who can design and build enterprise-grade AI platforms using modern GenAI technologies, cloud-native architectures, and AI orchestration frameworks.

This is not a chatbot development role. You will architect AI-powered platforms that integrate enterprise applications, business workflows, and knowledge systems, enabling intelligent automation, tool orchestration, and seamless user experiences at scale.

KEY RESPONSIBILITIES:

• Establish architectural standards and best practices around security, governance, observability, reliability, and responsible AI.
• Drive architecture decisions, design reviews, and implementation guidance across AI platform initiatives.
• Integrate enterprise tools, services, and APIs into AI-driven platforms through modern integration and orchestration patterns.
• Design and implement scalable layered architectures that enable seamless interaction between enterprise applications, business workflows, knowledge systems, and AI-powered experiences.
• Build enterprise-grade AI platforms using Azure AI Foundry, LLMs, agentic frameworks, and cloud-native technologies.

EXPECTED SKILL PROFILE:

• 12+ years of overall experience in software engineering, application development, and architecture roles.
• Strong Application Architecture background with experience designing distributed systems, microservices, APIs, cloud-native applications, and enterprise integration solutions.
• 2+ years of experience designing and implementing GenAI-based solutions using LLMs, agentic frameworks, and AI orchestration patterns.
• Must be a HANDS-ON architect with recent experience in designing, as well as implementing GenAI-based solutions in production environments using Azure AI Foundry, Azure OpenAI, and the broader Azure cloud ecosystem.
• Strong understanding of agent-based architectures, tool invocation patterns, workflow automation, and contextual decision-making.
• Experience with one or more AI orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or similar technologies.
• Prior experience in designing and implementing ML solutions is preferred
• Experience defining architecture standards around security, governance, observability, reliability, and responsible AI preferred
• Experience building platforms that integrate business applications, workflows, APIs, and knowledge systems will be highly preferred.

PREFERRED CAREER JOURNEY:

This role is particularly well suited to architects who have grown their careers from

Enterprise Application Development Enterprise Application Architecture GenAI Architecture.

The core challenge is NOT model development; it is designing AI-powered enterprise platforms that orchestrate enterprise tools, workflows, services, and knowledge systems in a scalable, secure, and governed manner.