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Professional Services Consultant, AI Solutions

110k – 140kUnited StatesSolutions ArchitectureRemote4+ YOE
Summary

Lead end-to-end AI agent deployments for enterprise customers, combining strategic advisory with hands-on configuration, testing, and enablement to drive measurable workflow automation outcomes.

About the role

Strategic Advisory and Executive Partnership

  • Own senior stakeholder relationships; align agent deployments to business priorities, operating constraints, and measurable success metrics.
  • Lead discovery with a consultative approach to identify high-value workflows for agentic automation; translate goals into a practical delivery roadmap.
  • Provide guidance on governance, risk controls, and adoption strategy for AI-enabled workflows (ownership, escalation paths, monitoring, change management).
  • Own ongoing post-launch customer relationship management, proactively monitoring adoption and outcomes, coordinating cross-functional stakeholders, and identifying risks and expansion opportunities.

AI Agent Deployment Leadership (End-to-End Delivery)

  • Lead kickoff through launch for Certified Agent engagements, ensuring strong scope control, timeline management, and stakeholder alignment.
  • Run process mapping (current and future state), document requirements, and secure signoff on the build package.
  • Optimize customer workspace foundations to support agent-driven operations (structure, permissions, templates, reporting, operational hygiene).
  • Configure Certified Agents and supporting workflows; apply prompting best practices and implementation standards.
  • Build UAT plans and test cases; perform internal validation and coordinate customer validation to ensure outcomes meet requirements.
  • Drive launch readiness and adoption: admin and end-user enablement, walkthroughs, and post-launch stabilization.
  • Produce customer-ready documentation (process maps, agent prompt/config rationale, use-case walkthroughs, operating guidance).

Value Realization and Expansion

  • Establish and track KPIs that demonstrate business impact (efficiency gains, error reduction, throughput, compliance, ROI).
  • Identify expansion opportunities for additional agent use cases and broader workflow optimization, partnering with Sales/CS as appropriate.
  • Support ongoing services such as agent updates and periodic recertification, ensuring solutions remain aligned to evolving customer needs.

Operational Excellence and Team Leadership

  • Set a high bar for delivery quality; improve repeatability through templates, checklists, and playbooks.
  • Mentor and enable other consultants on Certified Agent delivery methods, prompting standards, and troubleshooting patterns.
  • Partner cross-functionally (Solutions, Support, Product/AI, Integrations) to resolve escalations and improve customer outcomes.
  • Surface delivery insights and product gaps to inform roadmap, packaging, and services strategy.

Qualifications

  • 4+ years of experience in a customer-facing role in B2B SaaS (Professional Services, Implementation Consulting, Solutions Consulting, Technical CSM, or Technical Project/Program Management).
  • Experience delivering AI-enabled automation (agents, copilots, workflow automation, decisioning) in production environments.
  • Proven experience leading complex, multi-stakeholder implementations with strong project management and executive communication.
  • Strong process mapping and solution design skills, translating ambiguous workflows into scalable operating models.
  • Deep comfort with hands-on configuration and troubleshooting in workflow platforms, automation systems, and/or enterprise SaaS tools.
  • Demonstrated understanding of prompt design, guardrail configuration, and iterative optimization of AI-driven workflows.
  • Strong facilitation skills (discovery workshops, design sessions, enablement trainings, executive readouts).
  • Excellent written communication; able to produce crisp requirements, plans, and customer-facing documentation.
  • Ability to operate autonomously, prioritize across multiple engagements, and drive outcomes in a fast-paced environment.
  • Familiarity with Model Context Protocol (MCP) concepts and safe tool integration patterns.
  • Experience configuring agents with structured memory, tool access, and external system integrations.
  • Ability to diagnose and improve agent performance through structured iteration and evaluation.

Bonus Qualifications

  • Experience with enterprise tooling and integrations (Salesforce, ServiceNow, Jira, Workday, NetSuite, SAP) and iPaaS/middleware.
  • Change management experience (adoption plans, enablement programs, comms, stakeholder management).
  • Consulting background (Big 4 or similar) or enterprise Professional Services delivery.
  • PMP, Scrum, Agile, or equivalent certifications.
Skills
AI Agent DeploymentPrompt EngineeringWorkflow AutomationProcess MappingUAT TestingStakeholder ManagementProject ManagementEnterprise SaaSChange ManagementModel Context Protocol (MCP)
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