AI Engineer – Marketing Intelligence, Automation

Job not on LinkedIn

🔥 1 hour ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SS&C Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1986

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

SS&C Technologies is a global leader in financial services and healthcare technology, recognized as the world’s largest independent hedge fund and private equity administrator, as well as the largest mutual fund transfer agency. The company offers a comprehensive range of solutions including asset management, banking, healthcare, insurance, and wealth management, leveraging proprietary software and extensive expertise to meet the operational needs of clients across multiple industries.

📋 Description

• Design, build, evaluate, and maintain AI agents and agentic workflows across marketing systems • Build services and pipelines that unify marketing and CRM data, website behavior, campaign performance, search/AI visibility, intent signals, attribution inputs, and other sources • Connect marketing, data, CMS, CRM, analytics, AI, and workflow platforms through secure APIs, event-driven integrations, and reusable services • Create RAG and enterprise knowledge-retrieval systems using governed enterprise knowledge • Develop predictive and next-best-action models and decisioning services • Build adaptive website and digital experiences with profile- and account-aware messaging, content recommendations, calls-to-action, and journey logic • Develop LLM-powered conversational experiences that engage and qualify visitors, answer questions, route inquiries, and integrate with sales and marketing workflows • Engineer measurement, attribution, forecasting, pipeline intelligence, and executive decision-support services • Build content and publishing automation connecting AI-assisted creation, governance, CMS workflows, structured data, localization/personalization, and distribution • Support SEO/AEO/GEO systems monitoring search visibility, structured data, content performance, citations, and optimization opportunities • Create test harnesses, observability, quality controls, and evaluation frameworks for prompts, agents, models, workflows, and digital experiences • Codify successful patterns into reusable components, templates, documentation, and playbooks • Partner with Digital Marketing, Marketing Operations, Demand Generation, Field Marketing, Content/Creative, Analytics, IT, Data, and other stakeholders • Establish the initial architecture and reusable foundation, then help operationalize increasingly autonomous marketing capabilities

🎯 Requirements

• 4+ years of experience in AI engineering, software engineering, data engineering, ML engineering, marketing engineering, or a similar role building production technical systems • Strong programming skills in Python • Experience with JavaScript/TypeScript or another modern application language • Hands-on experience building with LLMs, including APIs, tool/function calling, structured outputs, prompt design, agent frameworks, and production evaluation • Experience designing RAG or enterprise knowledge-retrieval systems, including embeddings, vector search, metadata, chunking, permissions, and source grounding • Experience building data pipelines, APIs, event-driven integrations, and workflow automations across SaaS and enterprise platforms • Working knowledge of cloud architecture and data platforms • Experience with AWS and Amazon Redshift is particularly relevant • Understanding of data modeling, identity resolution, data quality, observability, security, access controls, and governance • Experience with marketing technology, CRM, CMS, analytics, digital experience, or marketing automation platforms is strongly preferred • Systems thinker who favors durable architecture and reusable services over isolated scripts or one-off solutions • Able to translate ambiguous business problems into technical designs, prototypes, production systems, and measurable outcomes • Clear communicator who can explain architecture, tradeoffs, risk, and business impact to technical and non-technical partners • Comfortable testing emerging AI capabilities while applying appropriate controls for accuracy, privacy, security, and brand risk • Experience in B2B, enterprise software, financial technology, or regulated environments is a plus • Python; JavaScript/TypeScript; REST/GraphQL APIs; webhooks and event-driven integration patterns • LLM APIs and agent frameworks; RAG; vector databases/search; model and prompt evaluation; observability • AWS services and cloud-native application patterns; Amazon Redshift; SQL and modern data transformation/orchestration approaches • CRM and marketing automation integrations, CMS/publishing APIs, web analytics, and customer/digital data sources • Git-based development, CI/CD, testing, logging, secrets management, role-based access, and production monitoring • Structured data and metadata frameworks such as schema.org/JSON-LD are useful for digital/search-oriented use cases

🏖️ Benefits

• Medical, dental, and vision coverage • 401(k) plan with company match • Paid time off • Paid holidays • Parental leave • Professional development reimbursement opportunity