MarTech AI Solution Architect
Capgemini · New York, United States · On site · September 26, 2026
Why a CV for this job?
- They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
- It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
- In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
- Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
About the Role
We are seeking a MarTech 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 MarTech expertise with a practical understanding of GenAI, AI agents, automation, and customer engagement platforms.
Key Responsibilities
Define AI-enabled MarTech 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 MarTech 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 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.
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 MarTech 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
MarTech 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.
- Employer
- Capgemini
- Location
- New York, United States · On site