Senior Application Engineer & AI Transformation Lead
Leading enterprise AI transformation strategy, product ownership, and platform engineering for developer tooling and internal operations across the organization.
🤖 Generative AI Product Ownership & Transformation
- AI Strategy & Capability Roadmapping: Define the product vision, capability backlogs, and multi-phase rollout roadmaps for enterprise-wide Generative AI adoption across business units and engineering teams.
- Internal User Support Transformation: Lead the design and deployment of AI-powered support assistants and automated service workflows (integrated with Slack and Atlassian/Jira Service Management), accelerating internal knowledge retrieval and ticket deflection.
- Developer Productivity & Engineering AI: Spearhead the rollout and enablement of next-generation AI coding tools across development squads, standardizing workflows with Google Cloud, Gemini Enterprise, Antigravity (Advanced Agentic Coding), ChatGPT, Anthropic (Claude), and GitHub Enterprise / Copilot.
- Multi-Model LLM Governance & Security: Establish enterprise policies, data privacy boundaries, security controls, and cost-governance tracking for multi-vendor AI ecosystems (OpenAI, Anthropic, Google Cloud Vertex/Gemini).
- Agile Delivery & Adoption Metrics: Manage feature prioritization using Scrum/Kanban, run developer enablement workshops, conduct user journey interviews, and track adoption KPIs (developer velocity, cycle times, support deflection, and user satisfaction).
🛠️ Enterprise Tooling & Platform Ownership
- Own and administer enterprise tooling platforms including Atlassian (Jira/Confluence), GitHub Enterprise, Slack, Gemini Enterprise, and Sentry.
- Design automated integrations and AI agent workflows that bridge collaboration channels, CI/CD pipelines, issue tracking, and error observability.
- Support repository hygiene, permissions, release workflows, and developer productivity patterns across distributed application squads.