Senior Manager, AI – Enterprise Architecture

ST Engineering iDirect

Senior Manager, AI & Enterprise Architecture at ST Engineering iDirect responsible for AI-powered Business Excellence transformation. Leading design and delivery of AI-enabled solutions and ensuring business initiatives translate into measurable outcomes.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Design, build, and deploy AI-driven and automation solutions across business processes
Develop and implement use cases such as: Bid management automation, Financial reporting optimization, Salesforce and customer workflow enhancements
Build solutions using: AI platforms (Copilot, Dataiku, LLM-based services), Workflow automation/orchestration tools, APIs and integration layers
Actively contribute to prototyping, development, and solution debugging
Drive rapid delivery of high-impact use cases (POC → production)
Define and evolve the enterprise AI platform architecture, including: Unified data fabric, AI orchestration layer, API-first integration strategies
Establish and enforce architecture principles, design patterns, and best practices
Ensure solutions are scalable and reusable, secure and compliant, built on shared platforms (not siloed tools)
Partner with business stakeholders to translate prioritized initiatives into implementable solutions
Ensure all work ties directly to measurable KPIs: Cycle time reduction, Cost savings, Productivity gains, CSAT/revenue impact
Establish and lead Architecture Review Board (ARB)
Design and implement architecture across core enterprise systems: Salesforce, SAP / Finance systems, Jira / Confluence
Build and guide: API integrations, Event-driven workflows, Data pipelines and AI data layers

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)
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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI PlatformsData PipelinesIntegration DevelopmentWorkflow AutomationSolution DebuggingProduction-Grade SolutionsArchitecture PrinciplesDevOps PracticesSecurity ComplianceAnalytics Platforms

Soft Skills

CollaborationStakeholder EngagementLeadership