AI Platform Engineer

AI Platform Engineer / AI Tools & Knowledge Management Engineer

Location: Bangalore (Hybrid)
Employment Type: Contract
Client: Equinix (ISD - Incubation Solutions Delivery)

About the Role

Equinix ISD is seeking a highly skilled AI Platform Engineer to own, modernize, and scale an internal AI-enabled delivery platform supporting Distributed AI programs with NVIDIA, Dell, HPE, Lenovo, and other OEM partners.

This role combines AI tooling, Python development, GitHub engineering, knowledge management, automation, and platform governance. The successful candidate will be responsible for transforming a mature but highly specialized AI ecosystem into a scalable platform that can be used effectively by both technical and non-technical users.

The role is hands-on and delivery-focused, requiring expertise in AI agents, Claude Code, RAG systems, Python development, GitHub-based software lifecycle management, SharePoint integrations, and enterprise knowledge systems.

Key Responsibilities

AI Platform Ownership & Enhancement

• Maintain and extend AI toolkits, Python libraries, dashboards, reports, and automation workflows.
• Support integrations with SharePoint, Smartsheet, and enterprise collaboration platforms.
• Ensure reliability, usability, and scalability of the AI delivery ecosystem.

AI Agent & Claude Platform Optimization

• Analyze token consumption and execution efficiency across Claude-based workflows.
• Design and implement solutions that reduce context-window dependency through:
• MCP Servers
• Claude Tool Use
• Plugins
• Agent SDK Services
• Internal AI Applications
• Establish performance baselines and demonstrate measurable reductions in execution cost and runtime.

Version Control & Release Management

• Lead migration of existing AI tools and libraries into GitHub.
• Design repository structure, branching strategy, CI/CD pipelines, and release processes.
• Implement controls to ensure business data, customer information, pricing content, and knowledge assets remain outside source repositories.
• Build secure distribution mechanisms enabling non-technical users to easily deploy and consume platform releases.

Knowledge Base Modernization

• Transform a large-scale Obsidian knowledge base into a reliable enterprise retrieval system.
• Implement:
• Secure access controls
• Grounded retrieval mechanisms
• Source citation frameworks
• User contribution workflows
• Multi-user collaboration capabilities
• Ensure AI-generated responses provide source attribution and gracefully respond with "I don't know" when information is unavailable.

Documentation & Governance

• Create technical documentation, runbooks, architecture documents, and user guides.
• Support operational governance and platform adoption across technical and non-technical teams.
• Enforce security, compliance, and knowledge provenance standards.

Required Skills & Experience

AI & Agentic Systems

• Strong hands-on experience with Claude Code
• Experience building and managing:
• Claude Skills
• Sub-Agents
• CLAUDE.md files
• MCP Connectors
• Tool Permissions
• Agent Workflows
• Knowledge of AI token optimization and prompt architecture
• Experience with Agentic AI and RAG implementations

Python Development

• Strong Python programming experience
• Developing automation, pipelines, integrations, and utilities
• Testing and maintaining production-quality code
• Preference for lightweight dependency management

GitHub & CI/CD

• GitHub repository administration
• Version control strategy
• Branching and release management
• CI/CD implementation
• Package distribution and deployment automation

Knowledge Management & Search

• Experience with:
• Obsidian
• Enterprise Knowledge Bases
• Retrieval Systems
• Citation-based Answering
• Access-Controlled Content

Enterprise Platforms

• SharePoint Online
• Microsoft 365 Integrations
• Smartsheet
• Confluence
• Jira

Data Security & Governance

• Secure handling of confidential customer data
• Data segregation and access control implementation
• Secret management and credential governance
• Data-loss prevention best practices

Communication & Business Alignment

• Strong stakeholder management skills
• Ability to translate technical solutions into measurable business outcomes
• Excellent technical writing and documentation skills
• Strong collaboration and requirements analysis capabilities

Must-Have Qualifications

• 5+ years of experience in Python Development, Platform Engineering, or AI Automation.
• Demonstrated experience building AI-enabled applications or agentic systems.
• Strong GitHub and software lifecycle management experience.
• Experience implementing RAG, enterprise search, or knowledge retrieval platforms.
• Experience working with non-technical business users and cross-functional stakeholders.
• Hands-on experience with CI/CD and software release processes.

Nice to Have

• Obsidian Knowledge Management Platform
• SharePoint & Microsoft Graph APIs
• Smartsheet Integrations
• MCP (Model Context Protocol)
• API Integration Development
• AWS and/or GCP Cloud Services
• Enterprise AI Platform Development

Preferred Candidate Profile

• Self-driven and highly accountable.
• Strong problem solver with a platform engineering mindset.
• Comfortable working in ambiguous environments.
• Focused on measurable business outcomes.
• Able to balance technical excellence with operational practicality.
• Strong written and verbal communication skills.