AI Solutions Architect (Azure/GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Solutions Architect (Azure/GenAI): Establishing and scaling AI capabilities across the business by defining architecture strategies and leading the AI Center of Excellence with an accent on GenAI solutions and enterprise-wide AI adoption. Focus on designing end-to-end AI/ML architectures, developing high-value use cases, and providing strategic AI advisory to business units.
Location: Kallang Bahru, Singapore
Company
A leading technology company for the global information technology ecosystem, providing products and services from technology manufacturers and cloud providers to B2B experts.
What you will do
- Define and lead the AI architecture strategy, establishing reference architectures and standards for scalability and security.
- Establish and manage the AI Center of Excellence (CoE), maintaining a structured AI use case lifecycle from ideation to value tracking.
- Design and deliver GenAI solutions, including Copilots, chatbots, and data-driven predictive models.
- Conduct AI readiness assessments and lead discovery workshops to translate business problems into AI solutions.
- Define AI governance frameworks focusing on responsible AI, data privacy, and ethics.
- Collaborate with engineering teams to prototype and integrate AI applications into enterprise workflows.
Requirements
- 8+ years of experience in solution architecture, data, AI, or digital transformation.
- Expertise in AI/ML platforms (Azure AI, AWS, GCP) and Generative AI (LLMs, Copilots, prompt engineering).
- Strong proficiency in data architecture (data lakes, pipelines, APIs) and MLOps.
- Deep knowledge of enterprise infrastructure and cybersecurity.
- Proven experience in AI advisory or consulting engagements.
- Ability to communicate AI concepts to senior leadership and influence strategic decisions.
Nice to have
- Experience building or working within an AI Center of Excellence.
- Background in global, multi-entity organizations or PSA/service delivery environments.
- Professional certifications as a Cloud AI Engineer or Solutions Architect.
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