Senior AI Strategy & Enterprise Safety Architect

Motorola Solutions

Malaysia

Hybrid

MYR 180,000 - 360,000

Full time

14 days+
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Job summary

Motorola Solutions is seeking an experienced AI/ML engineer/strategist to lead the evaluation and deployment of enterprise AI tools across cloud and edge environments. The role emphasizes risk-aware innovation, cross-functional leadership, and translating AI concepts into measurable business value.

Candidates should have 5+ years in AI/ML, cloud SaaS experience, and a track record of delivering production-ready AI in high-reliability settings.

Qualifications

  • 5+ years in AI/ML engineering, product management, or technical strategy, ideally within cloud SaaS, telecommunications, or UCaaS.
  • Risk-Aware Innovation: Demonstrated ability to distinguish between "hype" and "stable, production-ready" AI.
  • Experience deploying AI in zero-fault tolerance or high-reliability environments.
  • Cross-Functional Leadership: Proven track record of translating complex AI concepts into business value (ROI, cost-savings, performance metrics) for stakeholders.

Responsibilities

  • Strategic AI Research & Risk Assessment continuously scout the AI landscape for mature, stable technologies suitable for enterprise deployment and validate with PoCs.
  • Operational & Process Optimization identify bottlenecks and deploy AI tools to boost engineering productivity and reduce costs.
  • Product Enhancement (Communications in & Cloud Solutions) design edge-to-cloud AI integrations and optimize cloud dispatch systems for latency and bandwidth.

Skills

AI/ML engineering
Product management
Cross-functional leadership
Risk-aware innovation
ROI / cost-savings focus

Tools

AWS
Azure
GCP
MLOps tooling

Job description

Motorola Solutions is seeking an experienced AI/ML engineer/strategist to lead the evaluation and deployment of enterprise AI tools across cloud and edge environments. The role emphasizes risk-aware innovation, cross-functional leadership, and translating AI concepts into measurable business value.

Candidates should have 5+ years in AI/ML, cloud SaaS experience, and a track record of delivering production-ready AI in high-reliability settings.

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