Senior Manager, AI – Enterprise Architecture

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🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

💻 IT Support

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ST Engineering iDirect

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1994

📡 Telecommunications

🔒 Cybersecurity

🏛️ Government

Telecommunications • Cybersecurity • Government

ST Engineering iDirect is a global leader in IP-based satellite communications, providing technology and solutions that enable partners to deploy advanced satellite services effectively. With a focus on innovation and seamless connectivity, ST Engineering iDirect specializes in products such as modems, hub systems, and network management solutions tailored for various industries including enterprise, maritime, government, and media applications.

📋 Description

• 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

• 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

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