AI Automation Engineer - Global Operations
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Cengage Group
Kansas City, MO (In Person)
Full-Time
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Job Description
We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by our shared purpose
- driving innovation that helps millions of learners improve their lives and achieve their dreams through education.
- Global Operations drives AI-enabled operational efficiency across customer support, customer success, and service delivery functions at Cengage.
NA, EMEA
, and APAC . This role sits at the intersection of AI capabilities, support platforms, and operational process design. The ideal candidate has built against Zendesk (or equivalent), understands the economics of support operations, and knows how to design automations that work reliably across languages, regions, and customer segments. Key Responsibilities Support & Service AI Automation + Automate support ticket triage, routing, classification, and deflection using LLMs and ML + Build AI-powered knowledge base search and agent-assist tools for support staff + Develop renewal workflow automations that surface at-risk accounts and recommend actions + Create intelligent self-service experiences for customers across chatbot, email, and portal channels + Implement case summarization, sentiment analysis, and quality monitoring automations Platform Integration & Global Standardization + Integrate AI into Zendesk (or equivalent) and upstream operational systems + Standardize workflows globally acrossNA, EMEA
, and APAC support operations + Identify bottlenecks and inefficiencies in existing support and service workflows + Build integrations across CRM , billing, entitlement, and operational data sources + Ensure automations handle multi-language, multi-region, and multi-time-zone requirements Measurement & Continuous Improvement + Track resolution time reduction, first-contact resolution, and cost-per-interaction metrics + Partner with operations leaders on weekly reviews of automation performance + Quantify cost savings, deflection rates, and CSAT impact of deployed automations + Iterate on production systems based on agent feedback and customer outcomes + Maintain documentation and runbooks for all deployed workflows Required Qualifications + Bachelor's degree in Computer Science, Engineering, Information Systems, or related field + 4+ years of experience in automation engineering, support engineering, or software development + Strong proficiency in Python and experience building production-grade automation + Hands-on experience with LLMs and modern AI APIs for classification, summarization, and generation + Deep experience with at least one major support platform (Zendesk, Salesforce Service Cloud, ServiceNow) + Experience building and deploying conversational AI or chatbot systems + Strong understanding of support operations KPIs and economics + Excellent communication skills to work with operational and technical stakeholders Preferred Qualifications + Experience with Zendesk APIs, macros, triggers, and custom app development + Background building agent-assist or AI copilot tools for support staff + Experience with customer success platforms (Gainsight, Totango, ChurnZero) + Familiarity with multi-language NLP and international support operations + Experience with RAG architectures and vector databases for knowledge retrieval + Background in EdTech, SaaS, or other enterprise software support environments Tools & Technologies You should be comfortable with many of the following: +Languages:
Python, JavaScript/TypeScript, SQL +AI/ML:
OpenAI API , AnthropicAPI , AWS
Bedrock, LangChain, Hugging Face +Support:
Zendesk, Salesforce Service Cloud, ServiceNow, Intercom +Automation:
n8n, Zapier, AWS Step Functions, Airflow +Conversational AI:
Rasa, Dialogflow, Amazon Lex, custom LLM agents +Data:
PostgreSQL, MongoDB, vector databases (Pinecone, Weaviate) Key Competencies + Customer Mindset- designs automations that improve the customer experience, not just the metric + Operational Rigor
- builds reliable, observable systems that hold up in production + Global Perspective
- accounts for region, language, and time zone in every design decision + Stakeholder Partnership
- works closely with support leaders and frontline agents + Attention to Detail
- handles edge cases, escalations, and unusual inputs gracefully + Continuous Improvement
- measures, iterates, and optimizes deployed workflows What We Offer + Opportunity to shape AI at scale across a global learning company + Direct impact on business outcomes, product, and workforce productivity + Access to cutting-edge AI tools, platforms, and technologies + Collaborative team environment focused on innovation and continuous improvement + Competitive compensation and comprehensive benefits + Professional development and learning opportunities + Flexible work arrangements with remote/hybrid options Cengage is committed to working with broad talent pools to attract and hire strong and most qualified individuals.
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