Principal Cloud

Description :

- Work directly with a global cloud leader at the forefront of digital transformation

- Drive AI adoption at enterprise scale - from concept to deployment

- Collaborate with world-class experts in AI, data, and cloud architecture

- Enjoy competitive compensation, leadership visibility, and accelerated career growth

- Be part of a culture that values innovation, autonomy, and continuous learning

Our client is a world-renowned technology innovator empowering enterprise to harness the full potential of cloud, data, and AI. Their platforms touch millions of lives daily - powering smarter decisions, scalable systems, and next-generation digital experiences.

The Job :

- Designing and architecting large-scale, cloud-native AI and data-driven systems that combine innovation with reliability.

- Creating and evolving enterprise AI roadmaps that align business vision with cutting-edge technical capabilities.

- Building and scaling end-to-end AI/ML and Generative AI solutions - from proof-of-concept to full-scale deployment.

- Leading and mentoring high-performing engineering teams through design reviews, code reviews, and technical guidance.

- Defining and enforcing AI governance frameworks for model lifecycle management, data pipelines, testing, and monitoring.

- Collaborating and influencing senior stakeholders to turn complex domain challenges into impactful, data-backed solutions.

- Exploring and experimenting with emerging AI frameworks, tools, and architectures to future-proof our technology stack.

- Driving and delivering measurable business outcomes through strategic cloud adoption and intelligent automation.

Ideal Candidate :

- You possess 8+ years of experience in cloud architecture and large-scale implementation, ideally across AWS, Azure, or GCP.

- You are proficient in designing and deploying AI/ML and Generative AI solutions that solve real business problems.

- You possess hands-on expertise in Python, SQL, and data engineering, with a strong grasp of distributed systems.

- You are fluent with modern ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, and familiar with MLOps pipelines.

- You possess a deep understanding of high-availability architecture, microservices, and data lifecycle design.

- You are skilled in translating technical strategy into business language, bridging the gap between innovation and execution.

- You possess a bachelors degree in computer science, Engineering, or related discipline (advanced degree preferred).

- You are naturally curious, constantly learning, and passionate about staying ahead of AIs evolving frontier.

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