AI Solutions Analyst

Responsibilities

• Requirements & Analysis
• Gather and document business requirements for AI agent and automation requests
• Translate business needs into clear, actionable specifications
• Define acceptance criteria and success metrics
• Identify data inputs, outputs, and integration requirements
• Recognize when existing Foundation Layer capabilities can address requirements
• Conversation Design
• Design conversation flows for agents and chatbots
• Define agent behaviors, personas, and guardrails
• Map out user journeys and interaction patterns
• Specify how agents should handle edge cases and errors
• Intake & Triage
• Manage the intake process for new solution requests
• Triage requests based on complexity, priority, and dependencies
• Identify opportunities to reuse existing capabilities
• Coordinate defect routing with QA and engineering teams
• Stakeholder Coordination
• Partner with business users to understand their needs and constraints
• Facilitate requirements discussions and resolve ambiguities
• Coordinate user acceptance testing (UAT) with stakeholders
• Communicate status updates and manage expectations
• Quality & Documentation
• Support QA by clarifying requirements and expected behaviors
• Develop test scenarios that reflect real user interactions
• Maintain documentation for solutions and business processes
• Contribute to data governance considerations (data quality, access, privacy)
• What We're Building
• The AI Engineering team delivers intelligent solutions for AGS's global clients:
• Intelligent Agents - Conversational AI that helps hiring managers, recruiters, and internal teams get work done faster
• Agentic Workflows - Automated processes where AI executes tasks with human oversight
• Foundation Capabilities - Reusable AI services that power multiple solutions
• You'll ensure these solutions are built to solve the right problems-clearly defined, well-understood, and accepted by the business.
• Required
• 2-4 years of experience as a Business Analyst, Technical Analyst, or similar role
• Proven ability to gather requirements and write clear specifications
• Experience working with technical teams in an agile environment
• Understanding of AI/ML concepts-you can explain what an LLM does and when to use one
• Strong communication skills-written and verbal in English
• Analytical mindset with attention to detail
• Ability to manage multiple requests and stakeholders simultaneously
• Preferred
• Experience designing conversation flows or chatbot interactions
• Familiarity with low-code platforms (Power Platform, Salesforce, or similar)
• Background in staffing, HR tech, or workforce management
• Experience with requirements tools (Jira, Azure DevOps, or similar)
• Understanding of data flows and integration concepts
• What Makes You Stand Out
• You ask the "why" questions that uncover real requirements
• You can translate business language to technical language (and back)
• You document clearly-engineers don't have to guess what you meant
• You think about how users will actually interact with an agent, not just what it should do
• You manage stakeholders effectively without overpromising
• You follow through-requests don't fall through the cracks with you
• See what it's like to work at AGS by searching #LifeAtAGS on any social network.

Additional Information

The AI Solutions Analyst is the bridge between business needs and technical delivery. You'll take incoming requests for AI agents and automations, document clear requirements, design conversation flows, and ensure the engineering team has everything they need to build the right solution. This role combines business analysis skills with AI literacy and enough technical understanding to communicate effectively with engineers. You'll work with stakeholders to understand what they need, translate that into specifications, and coordinate through delivery and acceptance. If you enjoy understanding problems deeply and setting teams up for success, this role is for you.

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