Description
We are seeking an experienced AI Lead to help us move AI from experimentation into business value. You will partner with our teams to identify practical AI opportunities, design AI-enabled solutions, support agentic workflows, test output quality, train users, and drive adoption.
Responsibilities
- Identify Practical AI Use Cases: Work with business leaders and frontline teams to identify AI opportunities with measurable value. Translate business pain points into specific AI use cases with users, inputs, outputs, and success metrics.
- Design and Deploy AI-Enabled Solutions: Design practical AI solutions, including assistants, workflow automation, agentic workflows, document analysis, summarization, classification, knowledge tools, task routing, and decision support.
- Support Agentic AI Workflows: Help design multi-step AI workflows that can use tools, follow instructions, route tasks, summarize information, update systems, or escalate to humans.
- Drive AI Adoption: Work directly with users to understand where AI helps and where it adds friction. Create training materials, user guides, SOPs, FAQs, demos, office hours, and practical examples.
- Create Evaluation and Quality Standards: Define what good AI output looks like for each use case. Create simple evaluation criteria for accuracy, completeness, usefulness, consistency, safety, and user acceptance.
- Coach and Enable Others: Coach junior team members and business partners on AI use-case discovery, process mapping, solution design, testing, rollout, and adoption.
- Grow Into AI Operating Leadership: As the company's AI adoption matures, this role will expand into broader ownership of AI adoption playbooks, launch readiness checklists, evaluation and quality frameworks, user training programs, business impact reporting, and AI governance partnership with legal, security, compliance, and data teams.
Education & Experience Recommended
- 5-10+ years of experience across AI solutions, automation, analytics, product, business systems, operations, consulting, enterprise technology, or digital transformation.
- Hands-on experience helping launch AI, automation, analytics, workflow, or business-facing technology solutions.
- Experience working with business users to understand needs, map processes, test solutions, and support adoption.
- Experience partnering with technical teams such as engineering, data, security, or enterprise systems.
Preferred Certifications
- Experience with LLMs, AI assistants, automation, RAG, agents, structured outputs, prompt systems, APIs, or workflow tools.
- Experience deploying AI-enabled solutions, internal copilots, knowledge assistants, task automation, or agentic workflows.
Knowledge & Skills
- Practical understanding of how LLMs, AI assistants, automation, RAG, agents, prompts, tool use, and structured outputs can support business work.
- Ability to understand the limits of AI output and design review steps where needed.
- Ability to work with technical teams on data access, integrations, APIs, permissions, system dependencies, and production readiness.
Impact & Scope
- AI solutions moved from idea or pilot into real business use.
- Agentic workflows tested or deployed with business users.
- User training sessions, office hours, guides, and enablement assets delivered.
- Time saved, cycle time reduced, errors reduced, or manual work removed.
- Quality issues identified and improved after launch.
- Reusable templates, checklists, playbooks, and training materials created.
- Clear recommendations on which AI use cases should scale, pause, or be redesigned.