AI Architect

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Gruve

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2024

🤖 Artificial Intelligence

🔒 Cybersecurity

🏢 Enterprise

Artificial Intelligence • Cybersecurity • Enterprise

Gruve is an enterprise technology company that designs, builds, and operates AI-ready data center networks and delivers AI-driven solutions for businesses. The company provides Enterprise AI services (including LLM and advanced analytics deployments), AI infrastructure and GPU-rich compute environments, network automation, cybersecurity advisory and managed security services, and workload migration and platform modernization. Gruve positions itself as a provider of AI teammates, customer experience automation, and applied data strategy to help large organizations adopt and scale AI securely.

📋 Description

• Architect and own the MCP server ecosystem across Bio-Tech / Healthcare enterprise application portfolio • Build production-grade MCP servers in TypeScript and Python with OAuth 2.0, RBAC, and audit logging • Define tool schemas, versioning standards, and multi-agent orchestration patterns • Integrate MCP servers with SAP, Salesforce, D365, Smartsheet, Jira, Microsoft Graph API, and other business applications as per business need • Design the tool invocation and RBAC model for AI virtual employees and internal copilot personas • Align architecture with Bio-Tech / Healthcare AI Security Reference Architecture and EU AI Act compliance (Aug 2026) • Maintain an MCP server registry and contribute to internal Claude AI Launchpad enablement • Mentor AI & Automation Developers on MCP patterns and agentic integration best practices

🎯 Requirements

• B.Tech, M.Tech, or PhD from an Indian Institute of Technology (IIT) — Mandatory, verification required at offer • 8+ years in software engineering with focus on API design, systems integration, or AI platform engineering • 3+ years hands-on building MCP servers or equivalent tool-calling frameworks (LangChain, OpenAI Function Calling) • Expert TypeScript and Python; strong REST/GraphQL API design and Node.js async patterns • Deep knowledge of MCP specification — tools, resources, prompts, sampling, and transport layers • Experience integrating LLMs (Claude, GPT-4) with enterprise systems in agentic or RAG architectures • Strong grasp of OAuth 2.0, OIDC, JWT, Azure AD, and enterprise SSO/SCIM patterns

🏖️ Benefits

• Health insurance • Paid time off • Flexible working arrangements • Professional development opportunities