Lead AI Solution Engineer

EPAM Systems Inc; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems seeks 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 the US and India time zones to deliver a secure, CI/CD-enabled solution on Gemini Enterprise and Azure.

You will design the orchestrator, implement validation pipelines, and set up CI/CD with Azure DevOps while guiding architecture decisions and documenting approaches for long-term evolution.

Qualifications

• 5+ years of experience in software engineering with production-grade delivery.
• Experience designing AI-enabled platforms or workflow/orchestration systems.
• Strong technical leadership to guide architecture decisions.
• Hands-on delivery 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.

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.

Skills

Software engineering

AI/workflow orchestration design

Technical leadership

CI/CD automation

Python programming

Systems integration (SAP/Oracle)

Communication skills

English (B2)

Tools

Azure DevOps

Google Gemini Enterprise

Python

SAP

Oracle

Job description

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