Enablement Engineer

Role: Enablement Engineer

Work Location: Charlotte, NC (Hybrid)

Type: Contract

• The Enablement Engineer is a senior hands-on engineering role responsible for accelerating adoption of enterprise AI platforms across Lines of Business (LOBs). This role is aligned to a designated CIO organization and is accountable for enabling rapid delivery of high-value AI Solutions.
• This position combines deep technical expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI with a focus on solution delivery, reusable patterns, and enterprise enablement. The role ensures solutions are scalable, secure, and compliant with organizational standards for responsible AI.

Basic Qualifications:

• Minimum 5+ years of experience designing, developing, and deploying GenAI solutions from ideation through production
• Minimum 5+ years of experience delivering of high-value use cases through hands-on engineering and solutioning
• Minimum 5+ years of experience guiding teams in leveraging enterprise AI platform capabilities effectively
• Minimum 5+ years of experience driving adoption of enterprise AI platforms (e.g., Azure AI, AWS Bedrock, internal platforms)
• Minimum 5+ years of experience translate platform capabilities into practical implementation patterns
• Minimum 5+ years of experience aligning use cases to enterprise AI strategy, standards, and governance requirements
• Minimum 5+ years of experience serving as a liaison between centralized AI platform teams and CIO-aligned engineering teams
• Minimum 5+ years of experience delivering training sessions, workshops, and technical guidance to engineering teams
• Minimum 5+ years of experience developing enablement materials including documentation, playbooks, and quick-start guides
• Minimum 5+ years of experience upskilling teams on GenAI techniques such as prompt engineering, RAG design, and orchestration frameworks