AI Engineer – Marketing Intelligence & Automation

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

AI Engineer – Marketing Intelligence & Automation SS&C Intralinks | Marketing – Digital & Intelligence About the Role SS&C Intralinks is building an AI-enabled marketing intelligence model that connects data, digital experiences, automation, and AI to improve how Marketing understands customers, makes decisions, and activates across the funnel. We are hiring an AI Engineer to help build the technical foundation behind that model. This role sits at the intersection of AI engineering, marketing technology, data engineering, and digital experience. You will design and deploy the agents, integrations, data pipelines, orchestration workflows, and intelligence services that turn fragmented marketing data and manual processes into connected, scalable systems. This is not a traditional campaign execution role. You will build the engineering layer beneath an increasingly AI-enabled marketing organization: connecting platforms and data, enabling agents to reason over trusted information, automating workflows, and creating reusable services that can support personalization, attribution, predictive intent, conversational experiences, content operations, and executive intelligence. You will partner closely with Digital Marketing, Marketing Operations, Demand Generation, Field Marketing, Content/Creative, Analytics, IT, Data, and other stakeholders. The initial focus is establishing a strong architecture and reusable foundation; over time, the role will help operationalize increasingly autonomous marketing capabilities. What You’ll Build AI agents and agentic workflows: Design, build, evaluate, and maintain AI agents that can retrieve trusted marketing and business context, analyze information, recommend actions, and execute approved workflows across marketing systems. Marketing intelligence infrastructure: Build the services and pipelines that unify first-party marketing and CRM data, website behavior, campaign performance, search/AI visibility, intent signals, attribution inputs, and other relevant sources into an accessible intelligence layer. API and platform integrations: Connect marketing, data, CMS, CRM, analytics, AI, and workflow platforms through secure APIs, event-driven integrations, and reusable services rather than brittle one-off automations. Retrieval and knowledge systems: Create RAG and related retrieval patterns that allow AI systems to work from approved messaging, product information, campaign assets, customer insights, brand standards, and other governed enterprise knowledge. Predictive and next-best-action capabilities: Help develop models and decisioning services that combine first-party behavior and third-party signals to identify in-market accounts, prioritize opportunities, and recommend appropriate next actions. Digital journey orchestration: Build the technical capabilities required for adaptive website and digital experiences, including profile- and account-aware messaging, content recommendations, calls-to-action, and journey logic. Conversational AI: Develop LLM-powered experiences that can engage and qualify visitors, answer questions using approved enterprise knowledge, route inquiries, and integrate with downstream sales and marketing workflows. Measurement, attribution, and forecasting: Engineer data and AI services that improve multi-touch measurement, channel contribution analysis, pipeline intelligence, forecasting, and executive decision support. Content and publishing automation: Build systems that connect AI-assisted content