AI Solutions Delivery Associate

ServiceNow • West Palm Beach, FL

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About The Position

The Associate AI Solutions Delivery Associate helps turn business needs into practical, AI-enabled solutions while building hands-on delivery skills. Working with close guidance and detailed instructions, the associate configures approved AI capabilities, departmental automations, digital intake experiences, and productivity tools using reusable patterns and standard low-code/no-code platform components. The role translates well-defined requirements into reliable solutions, tests and documents the work, and supports colleagues who use the solutions.

The position works with business analysts, process owners, and experienced delivery specialists. It also involves applying responsible AI, privacy, security, accessibility, and platform standards throughout delivery. The position is not eligible for employment-based sponsorship.

Requirements

• At least 1 year of relevant experience through employment, internships, academic work, training programs, volunteer work, or personal projects in business systems, workflow automation, application development, data, or AI-enabled solutions.
• Bachelor’s degree in information systems, business, computer science, data, or a related field, or equivalent practical experience.
• Working knowledge of structured data concepts, including tables, fields, keys, relationships, validation, and basic data quality.
• Experience using, configuring, or learning visual development, automation, productivity, or AI-assisted tools.
• Ability to break a defined problem into clear steps, follow established procedures, test outcomes, and communicate when requirements or results are unclear.
• Curiosity about how generative AI and task-specific agents can improve business processes, with sound judgment about when human review is needed.
• Clear written and verbal communication skills and ability to collaborate in a structured team environment.
• Ability to learn new technologies, incorporate feedback, and manage assigned work with attention to quality and detail.

Nice To Haves

• Experience with low-code/no-code platforms, workflow automation tools, relational databases, APIs, or enterprise SaaS applications.
• Experience creating prompts, reusable instructions, automations, applications, or prototypes that use generative AI.
• Exposure to Agile delivery, user acceptance testing, process mapping, source control, or technical documentation.
• Coursework, training, or an entry-level credential related to application development, automation, data, cloud platforms, or responsible AI.

Responsibilities

• Use generative AI and approved agent capabilities to streamline well-defined business activities, including summarizing content, classifying information, preparing drafts, and guiding users through standard processes.
• Configure basic applications, intake forms, approvals, notifications, and linear workflows using visual development tools and reusable components.
• Apply approved templates, data schemas, prompts, skills, connectors, and solution patterns rather than rebuilding existing capabilities.
• Work with business analysts, process owners, and more experienced delivery specialists to clarify requirements and convert them into configured solutions.
• Create and validate tables, fields, relationships, business rules, and data-quality checks for well-defined use cases.
• Perform unit testing and support user acceptance testing with established test scenarios; document defects clearly and resolve issues within the assigned scope.
• Prepare solution documentation, including process flows, configuration decisions, test evidence, operating instructions, and known limitations.
• Help users adopt delivered solutions, respond to routine questions, and escalate platform, security, data, or design concerns to appropriate technical partners.
• Build knowledge of responsible AI, privacy, security, accessibility, and platform standards, and apply those requirements throughout delivery.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level