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AI Architect

Summary

Design and build a cloud-native, AI-powered self-service platform for media/advertising, integrating .NET Core APIs, React UI, and a Vertex AI agent on GCP.

Technical Architect – AI-Powered Self-Service Platform (Cloud + Agentic AI)

Role Overview

We are looking for a senior, hands‑on Technical Architect to lead the design and delivery of a next‑generation AI‑powered self‑service platform for a large enterprise client in the media and advertising sector. The platform enables users to move from a natural‑language brief to a fully priced, bookable plan in minutes.

The solution is a containerised .NET Core + React application deployed on AWS EKS, integrated with the client’s internal order management system (via async queue) and CRM (via custom APIs), augmented by a conversational AI agent hosted on GCP Vertex AI Agent Engine (Google ADK / LangGraph / Gemini).

The role blends enterprise application architecture, cloud‑native engineering and Agentic AI design — ideal for a senior engineer‑architect who has evolved from strong backend/full‑stack roots into cloud + AI system design.

Key Responsibilities

  • Own end‑to‑end architecture across UI (React/Node/TypeScript), API (.NET Core), integrations, cloud and AI layers
  • Architect API‑first, event‑driven, cloud‑native solutions on AWS EKS with enterprise CI/CD
  • Design the Agentic AI layer on GCP Vertex AI (ADK / LangGraph / Gemini), aligned with client’s data platform
  • Define integration patterns: async messaging (AWS MQ) with OMS, and custom CRM APIs
  • Enforce trust boundaries, entitlements, audit and multi‑tenant isolation through the core API
  • Design in‑app identity + MFA for MVP, with a clean path to Auth0 / OIDC
  • Guide teams on design, coding practices, evals, guardrails and delivery excellence
  • Partner with Product Owner, Delivery Lead and client architecture / security stakeholders

Required Skills & Experience

  • 12+ years total experience; 4+ years as Technical / Solution Architect
  • Strong hands‑on in .NET Core (mandatory) and React / Node / TypeScript
  • Hands‑on Agentic AI experience with Vertex AI, Google ADK, LangGraph, Gemini
  • Solid CRM (Salesforce or equivalent) + async integration experience
  • Strong understanding of security, identity (MFA, OIDC/Auth0), audit and multi‑tenant design
  • Prior exposure to media, broadcast, ad‑sales (OMS/TMS) or BFSI is a plus
  • Strong communication, leadership and Agile delivery mindset

Preferred Certifications

  • AWS Solutions Architect · GCP Professional Cloud Architect · Generative AI Leader/Engineer

See also

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