New York, NY MarTech AI Solution Architect

Job description

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. Ref. code: 490392 Posted on: Sep 26, 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: New York, NY, US Brand: Capgemini Professional Community: Software Engineering Nearest Major Market: Manhattan Nearest Secondary Market: New York City Apply now » Apply Now Start applying with LinkedIn Please wait... Find similar jobs: All rights reserved by Capgemini. 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