Senior Manager, AI – Enterprise Architecture

🕒 September 9

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

💻 IT Support

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ST Engineering iDirect

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1994

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

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

• Drive the technical realization of iDirect’s AI-powered Business Excellence transformation • Define architectural direction while building and delivering AI-enabled solutions, integrations, and platform capabilities • Design, build, and deploy AI-driven and automation solutions across business processes • Develop use cases for bid management automation, financial reporting optimization, and Salesforce/customer workflow enhancements • Prototype, develop, debug, and rapidly deliver high-impact use cases from proof of concept to production • Define and evolve enterprise AI platform architecture, including a unified data fabric, AI orchestration layer, and API-first integration strategies • Translate business needs into scalable, reusable, secure, and compliant solution architectures and blueprints • Partner with business stakeholders to connect initiatives to measurable KPIs such as cycle-time reduction, cost savings, productivity gains, CSAT, and revenue impact • Establish and lead the Architecture Review Board and enforce approved platforms, reusable components, and standardized integration patterns • Design and implement architecture across Salesforce, SAP/Finance systems, Jira, and Confluence • Build and guide API integrations, event-driven workflows, data pipelines, and AI data layers • Create reusable solution templates, architecture patterns, and AI/automation components • Act as a hands-on escalation point for complex technical challenges • Ensure solutions meet standards for scalability, security, maintainability, and cost efficiency • Act as the technical bridge between business, ELT, and engineering teams • Drive alignment across Business Excellence, AI, DevOps, and IT functions and ensure adoption and business impact

🎯 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 • Experience leading architecture direction while remaining hands-on • Strong hands-on experience with AI/ML platforms, including LLMs, copilots, and AI services • Experience with automation frameworks and orchestration tools • Experience with API and integration development • Experience with cloud platforms, with Azure preferred • Experience with data pipelines and analytics platforms • Experience with enterprise systems such as Salesforce and ERP • Understanding of security, governance, and compliance in AI systems • Understanding of DevOps / DevSecOps practices • Player-coach mindset and ability to lead by building • Ability to move from idea to architecture to working solution to scale • Bias toward execution and measurable outcomes • Ability to enforce standards without slowing delivery • Strong systems thinking across process, data, and technology • Comfort operating in ambiguity and driving clarity