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