Senior Engineer, ITSM AI Platform

Private Destinations•Fort Lauderdale, FL

8d•Hybrid

About The Position

The Senior Engineer, ITSM Automation & AI Platform is the operational and engineering engine behind the company's ITSM transformation agenda — responsible for designing, building, governing, and continuously evolving the automation architecture that underpins how technology incidents, changes, problems, and service requests are managed across the enterprise fleet and shoreside organization. This is not a configuration-only role. The Senior Engineer owns the full technical lifecycle of the ServiceNow platform — from scripted automation and AI agent deployment to deep Dynatrace integration and real-time observability — and translates operational data into actionable intelligence that reaches leadership. In an environment where ships operate continuously across international routes with constrained connectivity windows, the reliability, intelligence, and automation maturity of the ITSM platform directly impacts guest experience, crew productivity, and the company's ability to sustain maritime operations at scale. This hire owns the SNOW/Dynatrace automation function exclusively — this function does not sit within Platform Engineering. The Senior Engineer serves as the subject matter expert, the builder, and the custodian of a platform undergoing one of the most significant capability shifts in its history: the emergence of agentic AI and autonomous workflows that replace manual L1 intervention, enrich incident data from observability signals, and enable zero-outage operational outcomes. The individual who succeeds in this role will be technically exceptional, strategically aware, and deeply committed to turning ITSM from a reactive discipline into a proactive, self-healing function.

Requirements

Bachelor's degree in Information Systems, Computer Science, Information Technology, or equivalent field of study. Equivalent professional experience with demonstrated certifications will be considered in lieu of formal degree.
Active ServiceNow Certified System Administrator (CSA) — required or must be obtained within 6 months of hire.
Minimum 5 years of hands-on ServiceNow development experience with production responsibility across ITSM modules (Incident, Change, Problem, Service Catalog, Knowledge Management).
Demonstrated experience with ServiceNow automation technologies: Flow Designer, Business Rules, Script Includes, Client Scripts, UI Policies, UI Actions, Scheduled Jobs.
Strong JavaScript proficiency — both server-side (GlideScript) and client-side scripting within the ServiceNow platform.
Understanding of ITIL v4 frameworks — particularly Incident, Change, Problem, and Continual Improvement practices.
5+ years of hands-on ServiceNow development with production responsibility across core ITSM modules. Experience must demonstrate depth — not just configuration but scripted automation, integration development, and platform governance.
Proven track record designing and implementing REST API integrations between ServiceNow and enterprise third-party platforms at scale.
Hands-on experience with ServiceNow CMDB management, import sets, transform maps, and data quality governance.
Experience with ServiceNow Now Assist, AI-assisted ITSM capabilities, or equivalent enterprise AI workflow tooling.
Hands-on experience with Dynatrace or equivalent AIOps/observability platform, including ITSM event integration.
Experience working in complex, multi-environment enterprise landscapes with distributed stakeholder groups.
Understanding of workplace policies and procedures / Familiarity with team collaboration tools and techniques.
Strong time management and organizational skills
Ability to maintain reliable and consistent attendance / Capacity to be punctual and meet deadlines / Ability to collaborate effectively with colleagues and work as part of a team / Demonstrated professionalism in all interactions and tasks.

Nice To Haves

Active ServiceNow certifications: CIS-ITSM and/or CIS-ITOM, Certified Application Developer (CAD).
Hands-on experience with ServiceNow Autonomous Workforce AI Specialists or agentic AI agent configuration within enterprise workflows.
Experience with the Dynatrace–ServiceNow integration suite (released November 2025), including ITOM event ingestion, CMDB enrichment, and Now Assist AI connector.
Secondary programming language proficiency: Python, JavaScript (Node.js), or TypeScript.
Familiarity with DevOps tooling: Git, CI/CD pipelines, Docker, and automated testing frameworks in a ServiceNow development context.
Experience in hospitality, maritime, travel, or other 24/7 operational industries where ITSM directly impacts guest or customer-facing systems.
Proven ability to build, lead, and develop technical teams—hiring, coaching, performance management, and succession planning
Experience setting strategy and a multi-year roadmap and translating it into execution across multiple teams
Experience managing budgets, resources, and vendor/contractor relationships
Experience leading organizational change and driving enterprise adoption
Ability to translate business needs into actionable engineering plans
Strong background in ETL/ELT pipeline design, data modeling, and data architecture
Proficiency in SQL and Python; experience with orchestration tools (e.g., Airflow, dbt)
Experience with cloud data platforms/warehouses (e.g., Snowflake, BigQuery, Redshift, Databricks)
Experience delivering dashboards/BI (e.g., Power BI, Tableau, Looker)
Working knowledge of data governance, data quality, lineage, and security
Experience taking AI/ML use cases from concept through prototype to enterprise production
Understanding of the ML lifecycle and MLOps (packaging, serving, monitoring, iteration)
Familiarity with generative AI, LLMs, and/or agentic AI; awareness of AI governance and responsible-AI practices
Cloud (AWS, Azure, or GCP), data platform (e.g., Snowflake, Databricks), or AI/ML certifications preferred
10+ years in data engineering, analytics, or AI/ML, including hands-on pipeline, data platform, and solution delivery
5+ years leading and developing technical teams, including direct people-management and, ideally, leading through team leads or other managers
Proven track record setting strategy and a roadmap and translating business needs into delivered data products and AI solutions in production
Experience taking solutions from prototype to enterprise-scale production in partnership with IT, including driving adoption and change
Experience managing a function's budget, resources, vendors, and operating model
Experience establishing or operating data and/or AI governance and enterprise infrastructure
dual exposure to both data engineering and AI/ML deployment; experience standing up enterprise AI infrastructure or platforms; prior Director, Senior Manager, or equivalent leadership role within a Strategy/Analytics organization; background in travel, hospitality, or cruise industry

Responsibilities

The Senior Engineer owns the full technical development and configuration lifecycle of the ServiceNow platform at Princess Cruises. This encompasses the design and implementation of Business Rules, Script Includes, Client Scripts, UI Policies, Flow Designer workflows, and custom application logic that automates ITSM processes end-to-end. The incumbent is accountable for the reliability, performance, and upgrade readiness of the platform at all times.
Architect, build, and maintain automation workflows across Incident, Change, Problem, and Service Catalog modules using Flow Designer, Business Rules, and scripted automation.
Design, configure, and govern ServiceNow Now Assist AI capabilities — including conversational AI, generative summarization, and intelligent routing — within production ITSM workflows.
Deploy, configure, and operationalize ServiceNow Autonomous Workforce AI Specialists, beginning with the Level 1 Service Desk AI Specialist, and extending to IT Operations and additional specialist types as the platform evolves.
Maintain and optimize CMDB integrity, ensuring configuration item relationships accurately reflect the fleet and shoreside infrastructure landscape.
Own platform upgrade planning, regression testing (ATF), and remediation cycles to ensure continuity across ServiceNow release cadences.
Build and maintain Service Portal components, Record Producers, and self-service catalog items that reduce friction for end users across fleet and shoreside populations.
A defining capability of this role is the ownership of the Dynatrace–ServiceNow integration stack. As the two platforms deepen their strategic partnership toward autonomous IT operations, this engineer is responsible for architecting and maintaining the connective tissue between real-time observability signals and actionable ITSM workflows. The goal is to move Princess Cruises from reactive incident management to proactive, AI-driven operational intelligence.
Design and maintain the bidirectional integration between Dynatrace and ServiceNow ITOM, ensuring observability events are automatically ingested, enriched, deduplicated, and routed to the correct ITSM workflow without human triage.
Configure and optimize Dynatrace–ServiceNow incident creation pipelines with context enrichment — embedding root-cause descriptions, affected service topology, and remediation recommendations directly into SNOW incident records.
Leverage Now Assist and Dynatrace AI integration to enable administrators to query Dynatrace insights from within the ServiceNow interface, reducing context switching and accelerating MTTR.
Maintain and evolve the unified dashboard layer that surfaces Dynatrace metrics and charts directly within ServiceNow, eliminating administrative silos between observability and operations tooling.
Partner with Platform Engineering and network operations to ensure MID Server health, event routing rules, and alert suppression policies are correctly configured and maintained.
Stay current on the Dynatrace–ServiceNow joint roadmap and proactively identify new integration capabilities that can be adopted to advance the autonomous operations agenda.
This engineer is accountable for systematically reducing the volume of manual work performed across the ITSM function by identifying, designing, and deploying automations that handle repetitive, rules-based work. The engineer partners closely with the ITSM TIM team, Change Management coordinators, and Problem Management leads to translate operational patterns into durable automation logic and institutional knowledge.
Identify and implement end-to-end automation for high-frequency, low-complexity incident types — replacing manual L1 triage with AI-driven diagnosis, action, documentation, and knowledge base update.
Build and maintain automated SLA monitoring and breach notification workflows that proactively surface at-risk tickets to the right stakeholders before SLAs are violated.
Own the Knowledge Management automation strategy — including AI-assisted article creation, resolution pattern capture from closed incidents, and knowledge base quality governance.
Develop and maintain Change Management automation: pre-approval checks, conflict detection, risk scoring integration, and post-implementation review automation within the CAB workflow.
Maintain a master version registry across the fleet and ecosystem — tracking software versions across all vessel and shoreside environments, surfacing discrepancies, and feeding this data into change risk assessments.
Collaborate with the Sr. Manager to define and refine automation KPIs, publishing regular metrics on automation deflection rates, MTTR improvement, and L1 self-resolution rates.
The Senior Engineer plays a central role in transforming raw ITSM and observability data into structured, executive-ready intelligence. This individual builds and maintains the reporting layer that feeds the Sr. Manager’s dashboards, the CIO briefings, and the operational visibility tools used by the ITSM support team and fleet leadership.
Build, maintain, and evolve ServiceNow Performance Analytics dashboards, scheduled reports, and real-time views for incident volume, SLA performance, MTTR trends, automation deflection, and change risk.
Design and deliver the upstream reporting pipeline that surfaces ITSM operational data to technology leadership — structured for the CIO, VP Technology, and C-suite in a format that connects technology outcomes to business impact.
Maintain audit trails and governance documentation for all AI-driven automation decisions — ensuring accountability, traceability, and compliance with enterprise data governance requirements.
Support the Sr. Manager in producing financial and ROI analyses that quantify the impact of automation initiatives — including cost-per-incident reduction, staffing efficiency gains, and automation coverage percentage.
This role requires fluency in enterprise integration patterns. The Senior Engineer designs and owns REST API integrations between ServiceNow and third-party platforms, builds data transformation logic, and ensures that all integration surfaces are documented, monitored, and resilient.
Design, build, and maintain REST API integrations between ServiceNow and external platforms including Dynatrace, HR systems, guest experience platforms, maritime operations tools, and enterprise communication channels.
Develop and maintain Transform Maps, Import Sets, and scripted data migration pipelines to ensure CMDB and asset data remains accurate as the technology environment evolves.
Maintain integration documentation standards — ensuring all APIs, event schemas, authentication methods, and data flows are current, auditable, and accessible to the broader ITSM team.
Evaluate and adopt integration patterns from the ServiceNow Autonomous Workforce framework, including agentic AI handoff protocols and governed execution trails.