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Motorola Solutions · Penang, Malaysia

# Lead AI Integration Strategist (Cloud & Communications)

Penang, Malaysia Manager or lead Marketing 

Listed on Motorola Solutions’s official careers site. Listed as of October 17, 2026. Check that it is still open and apply there.
[Apply on Motorola Solutions’s careers site →](https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Penang-Malaysia/Lead-AI-Integration-Strategist--Cloud---Communications-_R67387)

[OpenNash Jobs](https://jobs.opennash.com/) / [Motorola Solutions](https://jobs.opennash.com/companies/motorola-solutions/) / Lead AI Integration Strategist (Cloud & Communications)

## Job description

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations.

Connect with a career that matters, and help us build a safer future. Department Overview We engineer the future of safety and security. Our connected technologies enable seamless, mission-critical communications for public safety and enterprise organizations, protecting people, property, and communities.

### Core Responsibilities
- Strategic AI Research & Risk Assessment Continuously scout the AI landscape for mature, stable technologies (e.g., classical ML, proven GenAI, robust audio processing) that are ready for enterprise deployment. Conduct rigorous risk assessments (security, bias, latency, hallucination risks) to ensure proposed AI solutions are safe for mission-critical communication environments. Develop proof-of-concepts (PoCs) to validate the performance, cost-to-serve, and operational impact of new AI tools before wide-scale rollout.
- Operational & Process Optimization Identify bottlenecks in development, QA, and deployment pipelines, deploying AI tools (e.g., AI-assisted code reviews, automated test generation) to enhance engineering productivity. Implement AI-driven telemetry and predictive maintenance for cloud infrastructure to proactively detect outages and reduce compute costs. Streamline customer support and onboarding processes using secure, RAG-based (Retrieval-Augmented Generation) knowledge assistants for dispatchers and IT admins.
- Product Enhancement (Communications in & Cloud Solutions)

### Audio & Speech AI

Propose and integrate edge-to-cloud audio models. Focus on advanced audio features, i.e. noise suppressors, real-time speech-to-text in high-noise environments, and acoustic anomaly detection.

### Dispatch & Cloud Intelligence

Design AI integrations for cloud dispatch systems, such as automated radio chatter summarization, predictive location-based resource allocation, and smart keyword alerting.

### Performance Optimization

Leverage predictive AI to optimize cloud routing, reduce latency in PTT call setup, and manage bandwidth dynamically over LTE/Wi-Fi networks.

### Basic Requirements

Experience & Mindset Experience: 5+ years in AI/ML engineering, product management, or technical strategy, ideally within cloud SaaS, telecommunications, or unified communications (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.

### Technical Competencies

Audio/Voice ML: Familiarity with audio processing models, speech recognition (ASR), and natural language processing (NLP) tailored for real-time communication.

### Cloud AI Services

Deep understanding of managed AI services across major cloud providers (AWS, Azure, GCP) and how to architect them for cost-efficiency. Edge vs.

### Cloud Architecture

Strong understanding of when to process AI workloads on the edge (e.g., on rugged PTT devices) versus in the cloud to balance latency, battery life, and compute costs.

### MLOps

Knowledge of model deployment, monitoring, and lifecycle management to ensure AI features do not degrade over time. Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan Yes EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 10, 2026
- Last checked: Oct 17, 2026
- Listed for: 7 days
- Location: Penang, Malaysia[Apply on Motorola Solutions’s careers site →](https://motorolasolutions.wd5.myworkdayjobs.com/Careers/job/Penang-Malaysia/Lead-AI-Integration-Strategist--Cloud---Communications-_R67387)

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