S
Generative AI Engineer
SIMARN Solutions
2 hours ago
Full-time
On-site
San Jose, California, United States
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.
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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.
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