NCS

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Solutions Architect specializing in video analytics and video AI applications, you will lead the design and implementation of advanced video processing solutions. Your expertise will be critical in driving innovation, ensuring architectural excellence, and delivering strategic initiatives in alignment with business objectives.

Key Responsibilities:

Architectural Leadership: Provide strategic direction and architectural leadership in the design, development, and implementation of video analytics and AI solutions. Define architectural principles, standards, and best practices to guide the evolution of our video processing architecture.

Pre-Sales Support: Collaborate with the sales and business development teams to support pre-sales activities, including customer consultations, solution presentations, and proposal development. Leverage your technical expertise to understand customer requirements, identify business opportunities, and architect tailored video analytics solutions that address customer needs.

Solution Design and Development: Lead the design and development of complex video analytics architectures, encompassing video data ingestion, processing, storage, and AI-based analysis. Utilize your deep technical knowledge to design scalable, high-performance, and resilient video processing solutions.

Technology Evaluation and innovation: Evaluate emerging technologies, industry trends, and vendor offerings in the video analytics and AI space. Identify opportunities for innovation and differentiation through the adoption of new technologies, architectures, and deployment models.

Cross-Functional Collaboration: Collaborate closely with cross-functional teams, including data engineering, product management, operations, and business development, to align technical solutions with business requirements. Provide technical leadership and guidance to ensure successful project execution and delivery.

Vendor Management and Partnerships: Manage relationships with technology vendors, partners, and suppliers to assess product offerings, negotiate contracts, and drive strategic partnerships. Influence vendor roadmaps and product development to meet the evolving needs of our video analytics infrastructure.

Standards Compliance and Regulatory Affairs: Ensure compliance with industry standards, regulatory requirements, and security guidelines governing video analytics and AI applications. Stay informed about relevant standards bodies and actively participate in standardization activities.

Capacity Planning and Performance Optimization: Lead capacity planning efforts to forecast video data growth and ensure adequate resources are provisioned to meet demand. Implement performance optimization strategies to enhance processing efficiency, reliability, and quality of service (QoS).

Video Analytics Expertise: Apply knowledge of video processing principles, including video encoding, decoding, compression techniques, and AI-based video analysis. Ensure seamless integration of video analytics infrastructure with existing data systems and technologies.

Technical Governance and Quality Assurance: Establish technical governance processes and frameworks to ensure the integrity, security, and reliability of video analytics solutions. Conduct architectural reviews, code inspections, and quality assurance activities to uphold architectural standards and mitigate risks.

The Ideal Candidate Should be

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Telecommunications, or a related field.
• 10+ years of experience in a technical leadership role within the video analytics or AI industry.
• Proven track record of designing and implementing video analytics architectures for large-scale deployments.
• Expertise in video processing technologies, protocols, and standards, including video encoding, AI-based video analysis, and cloud-native video processing.
• Strong proficiency in video analytics design and modeling tools.
• A team player with strong problem-solving skills and the ability to collaborate effectively within multidisciplinary teams.
• Strong verbal communication (including presentation) and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Proven ability to engage with senior management stakeholders, articulate technical vision and strategy, and influence decision-making processes effectively.
• Relevant certifications and publications in industry journals or conferences are highly desirable.

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.