Solutions Architect

MarTech AI Solution Architect 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. Location NYC Metro (Hybrid – onsite as required) Employment Type Full‑time Work Authorization Candidates must be authorized to work in the U.S. No visa sponsorship is available for this role. Role Overview 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. You will work closely with business, product, data, and engineering stakeholders to define scalable, future‑state marketing architectures and operating models that leverage AI to drive measurable business outcomes. 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. Assess current‑state MarTech ecosystems and define modernization strategies and roadmaps. Drive use cases such as AI‑assisted campaign planning and optimization, audience intelligence and segmentation, real‑time personalization and decisioning, marketing workflow automation, and 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 campaign orchestration, customer decisioning, marketing automation, customer data platforms, personalization platforms, marketing analytics and measurement, content operations/DAM workflows, and practical understanding of GenAI, LLMs, AI agents, copilots, RAG architectures, or workflow automation. Experience designing enterprise integration architectures and API‑driven ecosystems. 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. Nice‑to‑Have Experience Agentic workflow platforms and multi‑agent orchestration. Real‑time event‑driven marketing. Marketing copilot experiences. Content supply chain modernization. AI governance within marketing ecosystems. GEO / AI‑driven search optimization. Experimentation and optimization platforms. 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 For this role, the gross annual base salary range is $160,000 - $200,000 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. Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. #J-18808-Ljbffr