Professional Services AI Enablement Analyst
New
P
Precisely US JobsSoftware SaaS
100% remote anywhere in the USFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- PythonGenerative AI
Requirements
- 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 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)
- AI Enablement & Training background and excellent presentation skills
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
Responsibilities
- 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.
- Audit Professional Services workflows to identify high-impact AI opportunities.
- Perform cost-benefit analyses, translating technical metrics into 'hours saved' and 'margin improvement'.
- Design and code autonomous AI Agents using frameworks like Lang Graph, Crew AI, or Semantic Kernel.
- Collaborate with Central AI Team's AI Enablement Lead on PS-specific training content.
- Implement LLM Ops for PS-specific agentic solutions.
- Lead strategy, design, and delivery of agentic service offerings using MCP servers.
- Own customer adoption of MCP-based solutions.
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