MarTech AI Solution Architect

Role Overview

We are seeking a MarTech AI Solution Architect to design and deliver next-generation, AI-enabled marketing and customer engagement solutions for enterprise clients across Financial Services and other regulated industries. This role sits at the intersection of marketing technology, AI/GenAI, and customer experience transformation, with a focus on modern marketing architecture, AI-driven workflows, customer decisioning, campaign orchestration, audience intelligence, and emerging agentic marketing operations.

Key Responsibilities

• Define AI-enabled MarTech architecture patterns across campaign orchestration, personalization, customer engagement, and marketing operations
• Design modern marketing workflows leveraging AI agents, copilots, and automation platforms
• Identify opportunities for AI-led optimization across campaign planning, segmentation, audience activation, content operations, and analytics
• Develop end-to-end architecture blueprints across CDPs, campaign systems, workflow tools, decisioning engines, and AI services
• Audit current-state MarTech ecosystems and define modernization strategies and roadmaps
• Drive use cases including: AI-assisted campaign planning and optimization, audience intelligence and segmentation, real-time personalization and decisioning, marketing workflow automation, AI-driven measurement and performance optimization
• Collaborate with engineering and data teams on integration patterns, APIs, and orchestration layers
• Support rapid prototyping and proof-of-concept development using GenAI/AI platforms
• Develop solution recommendations that balance business outcomes, scalability, governance, and operational efficiency
• Stay current on emerging trends in AI-native enterprise software and MarTech operating models

Required Qualifications

• 8+ years of experience in MarTech, Customer Experience, Digital Marketing, or Marketing Technology architecture
• Strong understanding of enterprise marketing ecosystems and customer engagement platforms
• Hands-on experience in one or more of the following: Campaign orchestration, Customer decisioning, Marketing automation, Customer Data Platforms (CDP), Personalization platforms, Marketing analytics and measurement, Content operations / DAM workflows
• Practical understanding of GenAI, LLMs, AI agents, copilots, RAG architectures, or workflow automation
• Ability to translate business requirements into scalable, production-ready technology solutions
• Strong stakeholder communication and workshop facilitation skills

Preferred Qualifications

• Experience with platforms such as: Adobe Experience Cloud, Salesforce Marketing Cloud/Data Cloud, Braze, Segment, Tealium, Workfront, Aprimo, or similar ecosystems
• Exposure to AI-enabled marketing operations or AI-native workflow transformation initiatives
• Familiarity with cloud AI platforms such as OpenAI, Anthropic, Google Gemini, AWS Bedrock, or Azure AI
• Experience in Financial Services, Insurance, Retail, or other regulated enterprise industries
• Background in consulting, digital transformation, or enterprise architecture
• Experience supporting innovation labs, rapid prototyping, or emerging product initiatives

Key Skills

• MarTech Architecture
• AI Workflow Design
• Customer Decisioning
• Campaign Orchestration
• CDP & Personalization
• Marketing Operations
• GenAI / LLM Ecosystems
• AI Agents & Automation
• Enterprise Integration
• Solution Architecture
• Marketing Analytics
• Product Strategy

Pay

The gross annual base salary range for this role is $160,000 - $200,000/year for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.