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.
Key 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
As a workplace, we focus on relationships – with each other, our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful.
See what it’s like to work at AGS by searching #LifeAtAGS on any social network.
