AI Solution Architect

Panasonic R&D Center Singapore; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Panasonic R&D Center Singapore seeks an experienced AI Solution Architect to lead design, development, and deployment of next‑gen AI solutions across manufacturing, smart infra, robotics, vision systems and IoT.

You will bridge cutting‑edge AI research with production readiness, architecting scalable, secure AI systems deployed across cloud, edge and hybrid environments while managing multi‑disciplinary stakeholders.

Qualifications

• Bachelor’s, Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, AI, Robotics or related fields.
• 5+ years of software engineering, AI solution development, or system architecture.
• Experience leading technical teams and cross‑functional projects.

Responsibilities

• Lead end‑to‑end solution architecture for AI, Generative AI, Agentic AI, Computer Vision, IoT, and related systems.
• Design scalable cloud‑native and edge AI platforms for production deployment.
• Define system architecture, roadmaps, integration approaches, and deployment strategies.
• Establish CI/CD pipelines, DevOps processes, and infrastructure automation.

Skills

Generative AI

LLMs

Vision‑Lang

MLOps

Data engineering

Data pipelines

Education

Bachelor’s/Master’s/PhD in CS/CE/EE/AI/Robotics

Tools

AWS

Azure

Google Cloud Platform

Kubernetes

Docker

Infrastructure as Code

CI/CD

DevOps practices

APIs

Microservices

Job description

We are seeking an experienced AI Solution Architect to lead the design, development, and deployment of next-generation AI solutions across manufacturing, smart infrastructure, robotics, visual inspection, IoT, and enterprise digital transformation domains.

The successful candidate will bridge cutting-edge AI research and real-world commercialization by architecting scalable, secure, and production-ready AI systems deployed across cloud, edge, and hybrid environments.

This role requires both deep technical expertise and strong stakeholder management capability to work closely with researchers, software engineers, business teams, customers, and external partners.

KEY RESPONSIBILITIES

You will support a diverse portfolio of AI and digital transformation projects, including knowledge management, intelligent automation, computer vision, IoT, and enterprise platforms. The role combines solution architecture, hands‑on technical guidance, customer engagement, and collaboration with internal and external delivery teams.

• Lead end‑to‑end solution architecture for AI, Generative AI, Agentic AI, Computer Vision, Physical AI, and IoT systems.
• Design scalable cloud‑native and edge AI platforms for commercial deployment.
• Define system architecture, technical roadmaps, integration approaches, and deployment strategies.
• Develop reference architectures, technical standards, and best practices.

AI & Platform Development

• Architect AI‑driven applications using Large Language Models, Vision Language Models, multi‑modal AI systems, Computer Vision, video analytics, Agentic AI frameworks, and Physical AI/ Robotics systems.
• Drive AI platform engineering, model deployment, ML Ops, and lifecycle management.
• Design and implement solutions on Azure, AWS, or hybrid environments, with the ability to evaluate suitable cloud, edge, and enterprise deployment options based on project requirements.
• Establish CI/CD pipelines, DevOps processes, and infrastructure automation.
• Ensure system reliability, security, scalability, and performance.
• Plan and support production operations, including preventive maintenance, issue investigation, service improvement, system enhancement, and support for deployed AI and enterprise platforms.

Commercialization & Business Enablement

• Transform R&D prototypes into production‑ready solutions.
• Support customer engagements, solution proposals, and technical presentations.
• Experience supporting tenders, proposals, technical interviews, clarification responses, customer demonstrations, and solution positioning.
• Collaborate with business development teams to identify new opportunities and support project acquisition.
• Engage customers in technical discussions and solution workshops.

Technical Leadership

• Mentor software engineers and project teams.
• Lead architecture reviews, technology evaluations, and technical decision‑making.
• Coordinate cross‑functional teams across AI, software, cloud, infrastructure, and business domains.
• Coordinate with external vendors, outsourced development teams, technology partners, and regional stakeholders to deliver solutions from prototype through production deployment.
• Promote engineering excellence and innovation culture within the organization.

REQUIRED QUALIFICATIONS

Education:

• Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Robotics, or related disciplines.

Experience:

• 5+ years of experience in software engineering, AI solution development, or system architecture. Young talent with proven track records may also be considered.
• Experience leading technical teams and cross‑functional projects.

TECHNICAL SKILLS

• AI & Data

Generative AI, Agentic AI, LLMs, VLMs, Machine Learning, Deep Learning, Computer Vision, image analytics, MLOps, AI model deployment, data engineering, and data pipeline design.

AWS, Azure or Google Cloud Platform, Kubernetes, Docker, Infrastructure as Code, CI/CD, DevOps practices, APIs, and microservices Architecture.

• Software Development

System integration architecture, security architecture, cybersecurity best practices, identity and access management, and scalable distributed systems.

PREFERRED QUALIFICATIONS

• Experience in Smart Manufacturing, Smart Buildings, Robotics & Physical AI, Autonomous Systems, Industrial IoT or Infrastructure Inspection.
• Knowledge of RAG, AI Agents, Knowledge Graphs, and Multi‑Agent Systems.
• Familiarity with edge AI acceleration platforms and embedded AI deployment.
• Relevant certifications in cloud platforms, AI, or solution architecture.

WHAT WE LOOK FOR

• Strong systems‑thinking and architecture mindset.
• Passion for transforming innovative technologies into business impact.
• Excellent problem‑solving and analytical skills.
• Strong communication and stakeholder management capability.
• Ability to work in multidisciplinary and multicultural environments.
• Entrepreneurial mindset with a strong focus on commercialization and customer value.