Head of AI Enablement & Transformation
New
V
Voice Systems Engineering (VSE)AI transformation
This is a remote based position. We are currently inviting residents of Colorado, Florida, New Jersey, Ohio, Pennsylvania, Tennessee, Texas, and Washington.Full-TimeDirector
Salary not disclosed
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Job Details
- Experience
- At least 7 years in technology, operations, product, consulting or transformation roles, including at least 2 years of applied generative AI work.
- Required Skills
- RESTful APIsLLMGenerative AI
Requirements
- Personally built and shipped agentic AI systems, automations or LLM-powered tools that people used within the last 12 months.
- At least 7 years in technology, operations, product, consulting or transformation roles.
- At least 2 years of applied generative AI experience.
- Fluency in prompting, agents, tool use, evaluation, retrieval, workflow orchestration and major model providers.
- Scripting or coding ability to prototype, integrate via APIs and troubleshoot independently.
- Demonstrated success rolling out AI or automation across a non-technical workforce, with measurable gains in adoption, quality or efficiency.
- Experience establishing governance, responsible-AI or data-handling policies in a live operating environment.
- Facilitation, coaching and communication skills for working with both engineers and non-technical colleagues.
- Comfort owning a capability end to end, with direct accountability for results and no team reporting to you.
- Experience in a platform technology business, two-sided marketplace or online B2C company is desired.
- Experience consolidating scattered AI pilots or tools into a governed platform is desired.
- Familiarity with low-code automation platforms, data pipelines and BI tooling is desired.
- Experience with Holacracy or another self-management framework is desired.
Responsibilities
- Build and ship AI prototypes, agents, evaluation frameworks and deployment pipelines for non-engineers.
- Run weekly working sessions, create role-specific playbooks and office hours, and develop AI champions across functions.
- Redesign core workflows in partnership with the teams that perform the work.
- Publish weekly AI scorecard results, set targets and explain target changes.
- Evaluate models, platforms, agent frameworks and vendors; run proofs of concept and make build-versus-buy decisions.
- Establish agent autonomy, output traceability, permissions, data classification and acceptable-use guardrails with Legal, HR and IT.
- Manage use cases from intake and prioritization through pilots, rollout, maintenance and retirement.
- Validate outputs against sources, retest after model and tool updates, and define where human oversight is required.
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