AI Solution Architect

Job Title: AI Solution Architect (Content & Experience Focus)

Location: Remote

Role Summary

We are seeking a seasoned AI Architect with 15 years of overall technology experience, including 5 years in hands-on architecture leadership. The ideal candidate will drive AI solutions from ideation to implementation, specifically focusing on the intersection of Generative AI and Enterprise Content Management. You will architect robust solutions leveraging the Azure AI ecosystem while integrating deeply with modern CMS, DAM, and Content Creation platforms to revolutionize how digital assets are generated, managed, and delivered.

Key Responsibilities

Architecture & Technical Leadership

• End-to-End AI Ownership: Lead discovery, PoC, and production hardening of AI solutions, with a specific focus on automating content lifecycles and hyper-personalization.
• Reference Architectures: Define patterns for RAG (Retrieval-Augmented Generation), orchestration, and agents, specifically integrated with Content Management Systems (CMS) and Digital Asset Management (DAM) platforms.
• Cross-Functional Direction: Align engineering teams (Data, ML, Security, and Frontend) to ensure AI-driven content workflows adhere to Microsoft best practices.
• Governance & MLOps: Lead design reviews, threat modeling, and AIOps for reliability, focusing on the security of enterprise intellectual property within content repositories.

Azure AI & Content Solutioning

• Azure AI Ecosystem: Architect solutions using Azure OpenAI, Azure AI Search (vector/hybrid), Azure AI Foundry, and Semantic Kernel.
• Platform Integration: Expertly integrate AI workloads with Adobe Experience Manager (AEM), Sitecore, or Optimizely, and automated creation tools like Synthesia.
• Strategic Delivery: Translate business outcomes into blueprints, backlogs, and NFRs, ensuring seamless data flow between Azure AI services and enterprise content hubs.
• Responsible AI: Implement guardrails, content filters, and safety policies to ensure AI-generated content meets brand standards and legal compliance.

Presales & Engagement

• RFP Leadership: Act as the technical lead for RFPs/RFIs, providing effort estimation, Bill of Materials (BoM), and win themes centered on AI-driven content transformation.
• Customer Advocacy: Run ideation workshops and executive briefings, crafting compelling narratives on how GenAI optimizes content ROI.

Required Qualifications

• Experience: 15 years in software/solution engineering; 5 years at an Architect/Principal level.
• AI Expertise: Deep knowledge of RAG architectures, LLM application design, prompt engineering, and grounding techniques.
• Azure Proficiency: Hands-on experience with Azure OpenAI, Azure AI Search (custom scoring/reranking), and Azure ML pipelines.
• Performance Engineering: Token optimization, caching strategies, and GPU/CPU sizing for high-scale content generation.
• Security & Compliance: Solid grounding in Entra ID, VNET/Private Endpoints, and data governance for sensitive enterprise content.