Senior AI Solutions Architect — Secure Integrations

EPAM Systems Inc; Colombia; Remote; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Learning and development

Global career opportunities

LinkedIn Learning access

Job summary

EPAM Systems Inc. seeks a Senior AI Solution Engineer to automate risk-based controls, design connectors, and review backlogs, while advising on triage and security for the software supply chain. You will shape architecture as capabilities grow and build a rubric for trusted tools used internally.

You will review and approve AI agents, MCP integrations, and platform capabilities, ensuring secure adoption across multiple teams and projects with a focus on governance and cost optimization.

Qualifications

• Minimum 3 years of relevant professional experience.
• Strong API and integration standards background for secure, scalable system connections.
• Knowledge of MCP and secure AI integrations and governance.

Responsibilities

• Evaluate and approve AI skills, agents, connectors, and MCP integrations against security criteria.
• Design and build MCP servers, connectors, and integrations for approved business use cases.
• Conduct security reviews of Claude Enterprise, Microsoft 365 Copilot, and related AI platforms.
• Assess data exposure, permissions, identity and security controls in integrations.
• Develop AI governance standards and risk assessment frameworks.
• Provide architecture guidance to enable secure AI adoption across the organization.

Skills

API & integration standards

Applied AI experience

Cybersecurity principles

MCP knowledge

English proficiency (B2+)

Tools

Claude Enterprise

Microsoft Copilot

Anthropic Claude

Job description

EPAM Systems Inc. seeks a Senior AI Solution Engineer to automate risk-based controls, design connectors, and review backlogs, while advising on triage and security for the software supply chain. You will shape architecture as capabilities grow and build a rubric for trusted tools used internally.

You will review and approve AI agents, MCP integrations, and platform capabilities, ensuring secure adoption across multiple teams and projects with a focus on governance and cost optimization.