Lead AI Solution Engineer
We are seeking a Lead AI Solution Engineer to build an agentic orchestration and AI workflow platform that verifies supplier compliance with consolidated logistics rates. You will partner across time zones and deliver a secure, CI/CD-enabled solution on Gemini Enterprise and Azure.
Responsibilities
- Design the agentic orchestrator and workflow architecture for supplier compliance verification
- Build the initial validation pipeline using flat-file checks and auditable rule execution
- Implement agent development workflows using Google Gemini Enterprise capabilities
- Set up CI/CD pipelines in Azure DevOps to automate build, test, and deployment
- Define authentication and access patterns to support secure platform usage
- Develop Python-based services and APIs to support orchestration and integrations
- Plan the integration approach for future connectivity to Oracle Transportation Management and SAP systems
- Collaborate with stakeholders across US and India time zones to refine requirements and priorities
- Write maintainable code and engineering documentation to support long-term evolution
- Troubleshoot platform issues and improve reliability, performance, and observability
Requirements
- 5+ years of experience in software engineering with production-grade delivery
- Experience designing AI-enabled platforms or workflow/orchestration systems
- Strong technical leadership skills to guide architecture and engineering decisions
- Hands-on project delivery skills across distributed stakeholders and time zones
- Strong Azure DevOps experience for CI/CD automation and release management
- Strong Google Gemini Enterprise experience for agent development and platform use
- Strong Python skills or similar language skills to build integrations and services
- Strong integration skills with enterprise systems such as SAP or Oracle databases
- Strong communication skills to align requirements and explain technical tradeoffs
- Upper-Intermediate English proficiency (B2) for daily collaboration
