MarTech AI Solution Architect

About the Role

We are seeking a Mar Tech AI Solution Architect to help 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, Artificial Intelligence, Customer Experience, and Enterprise Architecture, helping organizations modernize customer engagement through AI-driven workflows, campaign orchestration, customer decisioning, audience intelligence, and personalization at scale.

The ideal candidate combines deep Mar Tech expertise with a practical understanding of GenAI, AI agents, automation, and customer engagement platforms.

Key Responsibilities

• Define AI-enabled Mar Tech architecture patterns across customer engagement, campaign orchestration, personalization, and marketing operations.

• Design modern marketing workflows leveraging AI agents, copilots, workflow automation, and decisioning capabilities.

• Identify opportunities for AI-driven optimization across campaign planning, segmentation, audience activation, content operations, and analytics.

• Develop architecture blueprints spanning:

• Customer Data Platforms (CDPs)

• Campaign management systems

• Personalization platforms

• Decisioning engines

• AI services and workflow automation platforms

• Assess existing Mar Tech ecosystems and define modernization strategies and roadmaps.

• Lead architecture for use cases involving:

• AI-assisted campaign planning

• Audience intelligence

• Real-time personalization

• Guided recommendations

• Marketing workflow automation

• GEO / AI-driven search optimization

• Marketing measurement and optimization

• Collaborate with business, product, engineering, and data teams on APIs, integrations, orchestration layers, and AI enablement.

• Support rapid prototyping, innovation initiatives, and proof-of-concept development using modern AI platforms.

• Develop scalable solutions that balance business outcomes, governance, operational efficiency, and long-term maintainability.

• Stay current on evolving AI-native software trends and emerging Mar Tech operating models.

Required Qualifications

• 8+ years of experience in Mar Tech, Customer Experience, Digital Marketing, or Marketing Technology Architecture.

• Strong understanding of enterprise marketing ecosystems and customer engagement platforms.

• Experience in one or more of the following:

• Campaign Orchestration

• Customer Decisioning

• Marketing Automation

• Customer Data Platforms (CDP)

• Personalization Platforms

• Marketing Analytics & Measurement

• Content Operations / DAM Workflows

• Practical understanding of:

• Generative AI (GenAI)

• Large Language Models (LLMs)

• AI Agents

• Copilot Architectures

• Retrieval-Augmented Generation (RAG)

• Workflow Automation

• Experience designing API-driven enterprise integration solutions.

• Ability to translate business requirements into scalable technology solutions.

• Strong stakeholder management, communication, and workshop facilitation skills.

Preferred Qualifications

• Experience with platforms such as:

• Adobe Experience Cloud

• Adobe Experience Platform (AEP)

• Adobe Journey Optimizer (AJO)

• Salesforce Marketing Cloud

• Salesforce Data Cloud

• Braze

• Segment

• Tealium

• Workfront

• Aprimo

• Similar Mar Tech ecosystems

• Experience with AI-enabled marketing operations or AI-driven workflow transformation.

• Familiarity with:

• OpenAI

• Anthropic

• Google Gemini

• AWS Bedrock

• Azure AI

• Consulting, enterprise transformation, or solution architecture experience.

• Experience within Financial Services, Insurance, Retail, or other heavily regulated industries.

Key Skills

• Mar Tech Architecture
• Campaign Orchestration
• Customer Decisioning
• CDP & Personalization
• Marketing Automation
• Marketing Analytics
• AI Workflow Design
• Generative AI
• LLM Ecosystems
• AI Agents & Automation
• Enterprise Integration
• Solution Architecture
• Product Strategy

Nice-to-Have Experience

• Agentic workflow platforms
• Multi-agent orchestration
• Real-time event-driven marketing
• Marketing copilots
• Content supply chain modernization
• AI governance for marketing ecosystems
• GEO / AI-search optimization
• Experimentation and optimization platforms

Additional Information

• Hybrid role based in the New York City market.
• Candidates should be comfortable working onsite with clients as required.
• Financial Services industry experience is highly desirable.

Work Authorization Requirement Candidates must be authorized to work in the United States.Visa sponsorship is not available for this position now or in the future.

For this role, the gross annual base salary range is $150,000 - $175,000/ yearly 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.