AI Engineer - Marketing Intelligence & Automation

SS&C Technologies; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

SS&C Intralinks is seeking an AI Engineer to help build the technical foundation behind an AI-enabled marketing intelligence model. You will design and deploy the agents, integrations, data pipelines, and orchestration workflows that turn fragmented marketing data into connected, scalable services.

This role sits at the intersection of AI engineering, marketing technology, data engineering, and digital experiences.

Responsibilities

• Design, build, and maintain AI agents that retrieve context, analyze information, and execute workflows across marketing systems.
• Unify first-party marketing and CRM data, website behavior, campaign performance into an accessible intelligence layer.
• Connect platforms via secure APIs and event-driven integrations.
• Develop retrieval patterns (RAG) for using approved knowledge in AI workflows.
• Create predictive and next-best-action services to identify in-market accounts and prioritize opportunities.
• Orchestrate digital journeys with account-aware messaging and content recommendations.
• Develop LLM-powered conversational experiences to engage visitors and qualify inquiries.
• Improve measurement, attribution, forecasting, and executive decision support.
• Automate content publishing while maintaining human review where required.
• Codify engineering patterns into reusable components and playbooks for scale.

Job description

Job Description

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

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 creation, governance, CMS workflows, structured data, localization/personalization, and distribution while maintaining human review where required.
• Search and AI visibility automation: Support SEO/AEO/GEO systems that monitor traditional and AI search visibility, structured data, content performance, citations, and opportunities for optimization at scale.
• Experimentation and evaluation: Create test harnesses, observability, quality controls, and evaluation frameworks for prompts, agents, models, workflows, and digital experiences so deployments are measurable and reliable.
• Reusable engineering standards: Codify successful patterns into components, templates, documentation, and playbooks that allow the broader Marketing organization to scale AI safely and consistently.

How This Role Supports the Marketing Roadmap

The AI Engineer will provide a shared technical foundation for several planned Marketing 4.0 capabilities. The role is not expected to own each business program independently; instead,