This role involves working as an AI Implementation Engineer, focusing on the following key areas: AI Strategy & Discovery: Identify high-value AI opportunities with CEO and leaders. Translate business needs into technical solutions. Build AI adoption roadmap with measurable outcomes. Identify high-value AI opportunities with CEO and leaders. Translate business needs into technical solutions. Build AI adoption roadmap with measurable outcomes. AI Agent & Workflow Development: Build and deploy AI agents using OpenAI, LangChain, crewAI, etc. Integrate AI into internal systems like Jira, Slack, Salesforce. Create POCs and iterate into production systems. Build and deploy AI agents using OpenAI, LangChain, crewAI, etc. Integrate AI into internal systems like Jira, Slack, Salesforce. Create POCs and iterate into production systems. Technical Integration: Ensure compliance and security across all AI workflows. Collaborate with Engineering on APIs and data flows. Establish monitoring and evaluation frameworks. Ensure compliance and security across all AI workflows. Collaborate with Engineering on APIs and data flows. Establish monitoring and evaluation frameworks. Enablement & Change Management: Train teams, build documentation, run workshops. Drive AI literacy and adoption across the organization. Train teams, build documentation, run workshops. Drive AI literacy and adoption across the organization.