AI Automation Engineer
Tcs Ct UsaRole Summary
Seeking an experienced AI Automation Engineer to develop and maintain AI-powered automation solutions using Claude Skills, Agentic AI frameworks, and Model Context Protocol (MCP). The role involves building enterprise integrations, automating business workflows, managing sensitive data, and developing reusable AI skills and plugins.
Key Responsibilities
Build and maintain Claude Skills, plugins, and AI-powered automation for business reporting, vendor cost analysis, organizational changes, portfolio reporting, and hiring documentation.
Automate data extraction, integration, and reconciliation from enterprise systems such as Workday, ServiceNow, SharePoint/Microsoft 365, Jira, Confluence, and Slack.
Develop, deploy, and register MCP servers to connect AI assistants with enterprise applications using OAuth/SSO authentication.
Package, certify, and publish AI skills/plugins through internal registries, following taxonomy, metadata, and CI compliance requirements.
Implement data security controls, RBAC, PII handling, and AI governance guardrails.
Develop Excel automation using formulas, pivot tables, and reconciliation logic.
Collaborate with executive stakeholders to convert business requirements into reusable automation solutions.
Maintain technical documentation and provide production support for deployed skills and plugins.
Required Skills
Strong software engineering experience with Python and/or Node.js/TypeScript.
Hands-on experience with Claude Code, Claude Skills, or equivalent agentic coding assistants such as OpenAI Codex or Cursor.
Knowledge of skill/plugin packaging, SKILL.md definitions, front-matter, and tool scoping.
Working knowledge of Model Context Protocol (MCP), including building, deploying, and registering MCP servers.
Experience with OAuth/SSO authentication patterns.
Enterprise SaaS API integrations: Workday, ServiceNow, Microsoft 365/SharePoint, Jira, Confluence, and Slack.
Strong Excel/spreadsheet automation skills, including formulas, pivots, and reconciliation.
Understanding of AI governance, data classification, PII handling, RBAC, and security guardrails.
Knowledge of Generative AI and RAG.
Strong written communication, discretion with confidential information, and stakeholder collaboration skills.
Preferred Skills
Automation testing.
Financial/budget analysis, vendor cost reconciliation, or contingent workforce/SOW reporting.
SQL and BI tools such as Looker, Power BI, or Tableau.
Experience with internal AI/automation platforms, skills/plugin registries, and certification pipelines.
Experience Required
7+ years (as specified in the experience requirement).