Generative AI Solutions Consultant

At Varicent , we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the 2025 Forrester Wave Report for SPM , 2023 Ventana Research Revenue Performance Management (RPM) Value Index , Gartner Peer Insights , 2024 Gartner SPM Market Guide , and G2. Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent :

• Innovate with Purpose: Build impactful solutions for customers worldwide.
• Join Excellence: Work in a diverse, collaborative, and innovative team.
• Shape the Future: Lead in redefining revenue optimization.
• Grow Together: Unlock your potential in a supportive environment.

Join us at Varicent —where your talent and ambition meet limitless opportunities for success!

The Generative AI Solutions Consultant accelerates the development, testing, and deployment of AI-powered solutions across Varicent by building agentic AI workflows. This role translates high-value business use cases into working technical prototypes and production-ready AI agents, while establishing monitoring and safety guardrails for deployed AI systems. In the first 6 months, this role is expected to deploy 15-20 production-ready agentic workflows that automate high-value internal processes and support in security focused “monitoring agents” creating a repeatable prototype-to-production pipeline for AI solutions. The role was created to enable and scale validated enterprise AI solutions across the organization.

KEY RESPONSIBILITIES

• Agentic AI & Workflow Automation
• Design and build agentic AI workflows that automate multi-step processes and decision flows
• Prototype AI agents that interact with internal systems, data sources, and tools
• Experiment with orchestration frameworks and agent-based architectures
• AI Prototyping & Proof of Concepts
• Rapidly develop agents based on the backlog established by each department
• Test and iterate on AI solutions to evaluate feasibility and impact
• Run structured experimentation to evaluate new AI capabilities and tools
• AI Security & Monitoring
• Support build of AI monitoring agents that detect anomalies, misuse, and operational risks in deployed AI workflows
• Partner with the AI Ops + Transformation Lead to define the AI security monitoring framework across agentic workflows
• Technical Solution Development
• Build lightweight applications and AI workflows using modern AI tools and APIs
• Implement automat