Principal Engineer

ST Engineering iDirect

Principal Engineer responsible for AI-enabled solutions and enterprise architecture at ST Engineering iDirect. Leading technical delivery and ensuring business initiatives translate into measurable outcomes.

Posted 7/18/2026full-timeHerndon • Virginia • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining architectural direction and delivering AI-enabled solutions, with a strong focus on automation, integration, and compliance within enterprise technology environments.

Highest-signal resume keywords

AI/ML PlatformsAutomation FrameworksCloud PlatformsAPI DevelopmentEnterprise Technology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution ArchitecturePlatform EngineeringData PipelinesAnalytics PlatformsIntegration Development

Soft Skills

Stakeholder CollaborationProblem SolvingLeadership

Tools & Technologies

AzureDevOpsDevSecOpsOrchestration Tools

Industry Keywords

AI SolutionsAutomation SolutionsArchitecture PrinciplesSecurity GovernanceCompliance

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Define architectural direction while actively building and delivering AI-enabled solutions
Design, build, and deploy AI-driven and automation solutions across business processes
Partner with business stakeholders to translate prioritized initiatives into implementable solutions
Establish and enforce architecture principles, design patterns, and best practices
Act as a hands-on escalation point for complex technical challenges
Create reusable assets including: solution templates, architecture patterns, AI and automation components
Drive alignment across Business Excellence, AI, DevOps, and IT functions

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or related field
8–12+ years in enterprise technology, solution architecture, or platform engineering
Proven experience building and delivering production-grade solutions (not just designing)
Experience leading architecture direction while remaining hands-on
Strong hands-on experience with AI/ML platforms (LLMs, copilots, AI services)
Automation frameworks and orchestration tools
API and integration development
Experience with Cloud platforms (Azure preferred)
Data pipelines and analytics platforms
Understanding of security, governance, and compliance in AI systems
DevOps / DevSecOps practices

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities