AI Solutions Engineer - Professional Services

Job summary

Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Pre*** Software Incorporated (“Pre***”) is unlawful.

Qualifications

• All employees are expected to demonstrate proficiency in applying AI
• Bachelor’s degree in computer science, Information Systems, Data Analytics, Business, or a related field
• 3–5 years of experience supporting Professional Services delivery, consulting initiatives, or technology-enabled programs in a software or SaaS environment
• Experience supporting technology adoption, change management, or enablement across cross-functional teams
• Strong analytical and problem-solving

Responsibilities

• Building AI Deployment Accelerators:
• Independently build AI agents to automate complex data mapping, schema conversion, and code migration tasks.
• Design "Configuration Agents" that auto-generate documentation and environment setups for product deployments.
• Use Case Identification & ROI Strategy:
• Audit Professional Services workflows to identify high-impact AI opportunities.
• Perform cost-benefit analyses, translating technical metrics into "hours saved" and "margin improvement" for leadership.
• Hands-on Agentic Engineering:
• Design and code autonomous AI Agents using frameworks like Lang Graph, Crew AI, or Semantic Kernel.
• Build systems capable of multi-step reasoning, self-correction, and tool-calling.
• Team Enablement & Training:
• Collaborate with Central AI Team's AI Enablement Lead on PS-specific training content
• Self-Driven Governance & Scaling:

Skills

Degrees

Industry

Company size

Contract length