Gen AI Architect: Enterprise AI & Cloud-Native Lead

VLink Inc; Newark (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

VLink Inc. seeks a senior ML/engineering architect to own the end-to-end lifecycle from design to deployment of enterprise web applications with integrated Generative AI.

You will define scalable patterns and collaborate with product, AI/ML, DevOps, security, and network teams to meet business goals. Deliver full-stack best practices across backend, frontend, and infra, and architect LLM pipelines, embeddings, and vector databases in production.

Qualifications

• Deep experience designing cloud-native, microservices and event-driven architectures.
• Expertise with Azure App Services, AKS, Functions, API Management, Event Grid, Service Bus, Storage, and Key Vault.
• Strong understanding of subscription design, resource hierarchy, and environment isolation.

Responsibilities

• Lead architecture and development of enterprise web applications with integrated Generative AI.
• Define scalable, secure architectural patterns and implementation standards.
• Work closely with product, AI/ML, DevOps, security, and network teams to align business and technical goals.
• Drive full-stack development best practices across backend, frontend, and infrastructure.
• Architect and integrate LLMs, embeddings, RAG pipelines, and vector databases into production systems.
• Ensure production readiness security, networking, monitoring, performance, and compliance.

Skills

Cloud-native design

Microservices

Event-driven architecture

Azure App Services

AKS

Functions

API Management

Event Grid

Service Bus

Storage

Key Vault

PostgreSQL

MongoDB

Redis

RabbitMQ

Kafka

Azure OpenAI

Azure AI Search

LLM pipelines

REST API design

OAuth2

SSO

Tools

Redis

RabbitMQ

Kafka

Azure OpenAI

Azure AI Search

Job description

VLink Inc. seeks a senior ML/engineering architect to own the end-to-end lifecycle from design to deployment of enterprise web applications with integrated Generative AI.

You will define scalable patterns and collaborate with product, AI/ML, DevOps, security, and network teams to meet business goals. Deliver full-stack best practices across backend, frontend, and infra, and architect LLM pipelines, embeddings, and vector databases in production.