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 industryShape enterprise AI strategy across multiple sectors, from concept to real-world scaleCollaborate with world-class experts and cutting-edge technologiesCompetitive compensation, high visibility, and career growth in a fast-evolving space