This position is 100% remote anywhere in the US.

Overview:

The Professional Services AI Solutions Engineer plays a critical role in accelerating the effective adoption of AI tools and capabilities across Precisely’ s Professional Services team and is designed for bridging the gap between cutting-edge AI and billable service delivery. The role will collaborate with technical, business and operational teams to identify AI use cases, support implementation, and measure impact for Professional Services, ensuring AI solutions are practical, scalable, and aligned with business objectives. The Analyst is comfortable translating complex AI concepts into actionable insights and supporting stakeholders as AI becomes part of everyday workflows.

What you will do:

• 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:
• Implement LLM Ops for PS-specific agentic solutions, operating within Precisely's AI Architecture Standards and in coordination with the Central AI Team's AI Platform Engineer for tooling, evaluation standards, and model governance
• Agentic Solutions:
• Leads the strategy, design, and delivery of agentic service offerings in Professional Services by leveraging MCP servers to connect AI agents with enterprise data and software solutions.
• Owns customer adoption of MCP based solutions, driving scalable, governed, and LLM agnostic agent implementations that maximize existing automation investments.

What we are looking for:

• 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 skills with the ability to interpret data and derive actionable insights
• Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences and non-technical stakeholders. Ability to simplify complex LLM concepts into actionable training for consultants, analysts, and partners.
• Experience working with stakeholders at multiple levels, including technical and non-technical partners
• AI Enablement & Training background and excellent presentation skills a must

Required Skills:

• Strong proficiency in Python, with hands-on experience building or enhancing AI-enabled workflows or internal accelerators
• Practical experience designing and implementing generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, and API-based integrations
• Experience working with AI agent frameworks and orchestration tools such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex
• Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models), with sound judgment in evaluating outputs, limitations, and risk
• Solid working knowledge of AI/ML concepts and automation platforms sufficient to support enablement, training, and real-world solution delivery

AI Skills/Knowledge:

• Ability to identify and improve manual or repetitive Professional Services processes using AI or automation
• Clear analytical and communication skills, with the ability to explain AI-driven outcomes to consultants and delivery stakeholders
• Comfort using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude) and a growth mindset aligned to an AI-first organization

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