AI Solution Architect Consultant - MRO Cloud

Huawei Technologies; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

Join a leading global ICT solutions provider as an AI Solution Architect, where you will shape the technical direction for innovative AI initiatives. This role involves collaborating with cross-functional teams to translate business requirements into scalable AI solutions. You will engage with stakeholders to refine AI strategies, design robust frameworks, and conduct market research to position our AI offerings effectively. With a commitment to customer-centric innovation, this is an exciting opportunity to make a significant impact in the AI landscape while contributing to sustainable development in the digital era.

Benefits

Health insurance

Flexible working hours

Professional development opportunities

Work-life balance initiatives

Qualifications

• 5+ years of experience in AI with a strong leadership background.
• Hands-on experience in developing AI solutions from concept to execution.

Responsibilities

• Define the technical direction for AI initiatives aligned with client goals.
• Lead the development of AI prototypes and validate solutions based on client feedback.

Skills

AI/ML expertise

Stakeholder engagement

Architectural design

Prototyping

Market research

Data engineering

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

Apache Kafka

Apache Spark

SQL/NoSQL databases

Job description

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As the AI Solution Architect, you will play a pivotal role in shaping the technical direction and architectural vision for our AI initiatives. You will collaborate closely with cross-functional teams to translate business requirements into scalable and innovative AI solutions.
This role requires a blend of technical expertise, strategic vision, and effective stakeholder engagement to drive the successful delivery of AI-powered applications.

Key Responsibilities:

1. Strategic Direction and Vision:
   Define and drive the technical direction for AI/ML/Generative AI initiatives, aligning solutions with client business goals and digital transformation strategies. Translate complex business objectives into actionable technical strategies, while proactively identifying potential risks or misaligned initiatives in client engagements.
2. Architectural Design and Technology Selection:
   Design robust AI engineering frameworks to support the deployment, evaluation, and management of AI/ML models and Generative AI solutions for client projects. Evaluate and recommend the best technologies for clients, ensuring scalability, interoperability, and alignment with industry best practices. Contribute to the development of MLOps and LLMOps practices, focusing on operational efficiency for client organizations.
3. Client Collaboration and Stakeholder Engagement:
   Engage with client stakeholders, including business leaders, data scientists, engineers, and architects, to refine AI solutions and ensure alignment with their business objectives. Collaborate on use case development and solution optimization, fostering strong partnerships and ensuring that technical strategies address current and future business needs.
4. Prototyping and Solution Validation:
   Lead the development of AI prototypes that demonstrate the potential and feasibility of AI/ML solutions for client use cases. Design and implement rapid prototypes to test and validate AI models, ensuring alignment with client needs and business objectives. Iterate and refine prototypes based on client feedback and technical evaluations to accelerate solution adoption.
5. Market Research and Competitive Analysis:
   Conduct in-depth market research to assess client industry trends and AI needs, while performing comparative analyses of the company’s AI products versus competitor offerings. Identify unique selling points and craft compelling competitive advantages for client proposals, helping to position the company’s AI solutions as the best fit for client objectives and market opportunities.
6. Product Strategy and Business Understanding:
   Collaborate with AI product managers and client business stakeholders to develop a deep understanding of market dynamics and customer demands. Provide strategic insights into the strengths and weaknesses of the company’s AI products, helping shape AI product roadmaps and client proposals to deliver differentiated value.
7. Research and Development:
   Stay on top of emerging AI/ML technologies and methodologies, conducting research to evaluate their applicability to client-specific challenges. Provide data-driven insights to help clients make informed decisions on technology trade-offs and prioritize AI innovations that drive long-term business value.

Required Qualifications:

• Bachelor's Degree in Computer Science, Statistics, Data Science, or related field.
• At least 5 years or above of experience in AI field.
• Experience in a leadership role in AI/ML domain capacity. Track record of successful collaboration with cross-functional teams and stakeholders.
• Extensive hands-on experience in driving the development of AI solutions from concept to execution. This includes designing, building, and iterating on AI/ML models and deploying them in real-world, high-stakes environments, utilizing cloud native services.
• Ability to travel as needed based on project requirements.

Preferred Qualifications:

• At least Bachelor Degrees or above in the related field.
• At least 5 years or above of experience in AI field.
• Experience in providing strategic consultancy to organizations on the adoption and integration of advanced AI and Cloud solutions. Skilled in guiding clients through the entire lifecycle of AI projects—from ideation and proof-of-concept to full-scale deployment.
• Experience in data engineering and building scalable data pipelines to support AI/ML workflows. Proficiency in data ingestion, ETL processes, data cleaning, and transformation using tools like Apache Kafka, Apache Spark, Airflow, and SQL/NoSQL databases.
• Proficiency in deploying and optimizing AI workloads on GPU-based infrastructures. Understanding of GPU hardware configurations and how to leverage GPU clusters for scalability and performance optimization.
• Deep knowledge of Generative AI/LLMs, with experience dabbling with pre-training, SFT, RLHF and productionizing agentic solutions.

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Your application will include the following questions:

• How many years' experience do you have as a solutions architect?
• Which of the following statements best describes your right to work in Malaysia?
• What's your expected monthly basic salary?
• How many years' experience do you have in a consulting role?
• Which of the following types of qualifications do you have?
• How much notice are you required to give your current employer?
• How many years' experience do you have as an AI Product Manager?

Telecommunications & Internet Service Providers 1,001-5,000 employees

Huawei is a leading global ICT solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end capabilities and strengths across the carrier networks, enterprise, consumer, and cloud computing fields. We are committed to creating maximum value for telecom carriers, enterprises and consumers by providing competitive ICT solutions and services. Our products and solutions have been deployed in over 170 countries and regions, serving more than one third of the world's population.

Huawei's vision is to enrich life through communication. By leveraging our experience and expertise in the ICT sector, we help bridge the digital divide by providing opportunities to enjoy broadband services, regardless of geographic location. Contributing to the sustainable development of society, the economy, and the environment, Huawei creates green solutions that enable customers to reduce power consumption, carbon emissions, and resource costs.

For more Huawei Training information, please refer to the below.

East Asia Network Sdn Bhd: http://www.easianetwork.com.my/

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