AI Engineer – Marketing Intelligence, Automation

SS&C Technologies

. Design, build, evaluate, and maintain AI agents and agentic workflows across marketing systems .

Posted 10/14/2026full-timeRemote • Massachusetts • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI engineering and software development, with a strong focus on building production systems, data pipelines, and integrating marketing technologies. Proficient in Python and JavaScript/TypeScript, with hands-on experience in LLMs and enterprise knowledge-retrieval systems.

Highest-signal resume keywords

AI EngineeringPython ProgrammingLLM DevelopmentData Pipeline IntegrationAWS Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptTypeScriptLLM APIsRAG SystemsData PipelinesREST APIsGraphQL APIsSQLStructured Data

Soft Skills

Clear CommunicationSystems Thinking

Tools & Technologies

AWSAmazon RedshiftCMSCRMWeb Analytics

Industry Keywords

B2BEnterprise SoftwareFinancial TechnologyMarketing AutomationDigital Experience

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudGraphQLJavaScriptPythonSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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