Generative AI Engineer

Location: San Jose, CA — Hybrid, 3 days onsite per week

Employment Type: W2 only

Eligibility: U.S. Citizens and Green Card holders only

About the Role

We are seeking a hands-on AI Automation Engineer to build secure, repeatable, self-service automations for a Strategy, Portfolio and Governance office. You will develop Claude Skills, Plugins, and lightweight MCP integrations to streamline executive reporting, vendor cost reconciliation, headcount documentation, and recurring business workflows.

Key Responsibilities

• Build and maintain AI skills and plugins for vendor/SOW cost analysis, org-change summaries, monthly reporting pre-reads, leadership presentations, AI-adoption reporting, and job description generation.
• Automate data extraction, transformation, and reconciliation across Workday, ServiceNow SPM, SharePoint/Microsoft 365, and Excel-based expense and SOW reports.
• Develop, deploy, and register lightweight MCP servers connecting Claude/Claude Code with enterprise systems, including Slack, Jira, and Confluence.
• Package and publish skills/plugins through an internal registry, meeting metadata, taxonomy, and CI compliance-validation requirements.
• Implement data-quality checks and reconciliation controls against source-of-truth totals.
• Apply role-based access controls and data-handling guardrails to protect confidential financial, organizational, and workforce information.
• Partner with business stakeholders to translate recurring and ad hoc requests into reliable automation.
• Maintain documentation covering purpose, inputs, outputs, data sources, and ownership; provide ongoing production support.

Required Qualifications

• 3+ years of software engineering experience with strong Python and/or Node.js/TypeScript proficiency.
• Hands-on experience with Claude Code, Claude Skills, or equivalent agentic coding tools such as OpenAI Codex or Cursor.
• Familiarity with skill/plugin packaging, including SKILL.md definitions, front matter, and tool scoping.
• Working knowledge of MCP server development, deployment, and registration, including OAuth/SSO authentication patterns.
• Experience integrating enterprise SaaS APIs and data sources such as Workday, ServiceNow, Microsoft 365/SharePoint, Atlassian, or Slack.
• Strong Excel automation skills, including formulas, pivot tables, and reconciliation logic.
• Proficiency in SQL, data analysis, and Python-based workflow automation.
• Understanding of enterprise AI governance, PII handling, data classification, and RBAC.
• Strong written communication, analytical thinking, and discretion when handling confidential information.

Preferred Qualifications

• Experience with financial/budget analysis, vendor reconciliation, or contingent-workforce/SOW reporting.
• Familiarity with Power BI, Tableau, or Looker.
• Experience supporting internal AI platforms, skills/plugin registries, or certification pipelines.
• Relevant Python, SQL, or data analytics certifications.