Generative AI Solutions Consultant

About Varicent

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.

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.

The Role

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 automation using agent frameworks, APIs, and workflow orchestration tools