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Senior Solutions Architect – AI/ML

4 weeks ago

Valenzuela, Philippines a Snaphunt Client 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
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