Lead AI Platform Engineer

Syncredible Solutions is hiring a Lead AI Platform Engineer to design and build an AI-enhanced software engineering platform that improves developer effectiveness, code quality, and engineering consistency. The role focuses on hands-on platform implementation, governed AI integrations, reusable capabilities, and collaboration with internal engineering teams.

Responsibilities:

• Assess the current implementation, define target architecture, transition roadmap, and appropriately scoped MVPs based on value, risk, urgency, and implementation effort
• Prepare architecture, detailed design, security, data-flow, integration, deployment, and operational-support documentation
• Present designs and obtain alignment from Information Security, Architecture Review Board, AI Centre of Excellence, Cloud Engineering, Privacy, Risk, and other stakeholders
• Design and implement modular platform capabilities for governed LLM access, context engineering, enterprise knowledge retrieval, workflow orchestration, security, evaluation, governance, and observability
• Develop and productionize prioritized engineering productivity use cases, initially integrating with GitHub Copilot, Azure DevOps repositories, work items, pipelines, service hooks, and enterprise knowledge sources
• Design tool-agnostic interfaces supporting the planned transition to GitLab for repositories, CI/CD and security scanning, and Jira and Confluence for requirements and project documentation
• Pair with internal engineers to create reference implementations, standards, architecture decisions, runbooks, and knowledge transfer