Technical Architect

Job description

Job Description

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
• Proven AWS EKS
• VPC
• AWS MQ architecture experience
• 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
• Excellent design fundamentals — patterns, distributed systems, event-driven 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