Cloud Architect
22 hours ago
As a Cloud 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.
- You have 3+ years of experience in cloud architecture and implementation, ideally in enterprise environments.
- You bring hands-on experience designing and deploying AI/ML and Generative AI solutions, including model integration and production lifecycle management.
- You are comfortable working across data pipelines, model deployment, and MLOps practices, and can support scalable AI workloads in production.
- You understand distributed systems, cloud-native architectures, and enterprise governance, ensuring security, cost efficiency, and architectural alignment.
- Experience with ML frameworks (e.g., PyTorch, TensorFlow), LLM APIs/platforms, and scripting (e.g., Python/SQL) is highly valued.
- You are an effective communicator who can engage both technical and business stakeholders, acting as a trusted advisor.
- You thrive in fast-evolving tech environments and are proactive in continuous learning, especially across AI/ML and cloud innovation.
- 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
- Competitive compensation, high visibility, and career growth in a fast-evolving space
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