Senior Solutions Architect- AI/ML

3 weeks ago

Manila, Philippines Snaphunt Pte Ltd. Full time

Our client is a global technology leader driving large-scale digital transformation for enterprises worldwide. Their platforms support millions of users and power cutting-edge innovations in cloud, data, and AI. They are expanding their specialist architecture team to help customers unlock the full potential of AI/ML at scale. The Role As a Senior Solutions Architect (AI/ML) , you will partner with enterprise customers to design, implement, and scale machine learning and generative AI solutions in the cloud. You will be a trusted advisor, guiding organizations on how to build secure, high-performance, and cost-efficient AI platforms that accelerate business outcomes. Key Responsibilities Design and implement end-to-end architectures for AI/ML workloads, including data ingestion, model training, deployment, and monitoring. Advise on scalable infrastructure for generative AI, foundation models, and data-driven applications. Collaborate with data science, product, and engineering teams to accelerate AI adoption across industries. Deliver workshops, proof-of-concepts, and executive briefings to showcase AI/ML best practices. Support enterprise migrations of AI/ML pipelines from on-premises or legacy systems to the cloud. Drive conversations on security, compliance, and responsible AI in large-scale environments. Mentor engineering and data teams, helping them operationalize and optimize AI solutions. Ideal Profile You have 8–12 years of experience in enterprise IT, with at least 5 years in AI/ML solution architecture or related fields. You also have 8+ years of experience in cloud-based solutions, systems, networking, and operating environments, along with strong hands‑on expertise in coding, data querying languages (e.g., SQL), and scripting languages (e.g., Python). Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices. Hands‑on expertise in data pipelines, feature engineering, model deployment, and monitoring at scale. Solid background in distributed systems, high‑availability design, and cloud‑native architectures. Experience with generative AI models, LLMs, and integration into enterprise applications is a strong plus. Strong communication and stakeholder engagement skills; able to influence both executives and technical teams. Curiosity and a continuous learning mindset to stay ahead in the fast‑evolving AI/ML landscape. What's on Offer? Work with a global tech giant on some of the most impactful AI/ML adoption journeys in the industry Shape enterprise AI strategy across multiple sectors, from concept to real‑world scale Collaborate with world‑class experts and cutting‑edge technologies Competitive compensation, high visibility, and career growth in a fast‑evolving space #J-18808-Ljbffr

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