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Advanced AI Cloud Solutions Architect
2 weeks ago
AI Cloud Engineer
">- ">
- Design, develop and implement advanced AI solutions on leading cloud platforms.">
- Create autonomous AI agents capable of breaking down complex goals, making decisions based on context and interacting with external tools and APIs.">
- Maste prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows.">
- Deploy, manage and scale Generative and Agentic AI models and pipelines using cloud services like AWS SageMaker, Azure ML, Google AI Platform and Kubernetes.">
- Train, fine-tune and optimize generative and agentic AI models for performance, scalability, reliability and efficiency using large datasets and advanced techniques.">
- Integrate AI agents with various external tools, APIs and data sources to expand their capabilities and enable them to interact with real-world systems.">
- Work with large and diverse datasets, including data collection, cleaning, transformation and feature engineering, to ensure high-quality input for both generative and agentic models.">
- Stay up-to-date with the latest advancements in Generative AI, Agentic AI, LLMs and multi-agent systems research and experiment with new frameworks and identify opportunities to apply novel techniques.">
- Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring and automated retraining to ensure the reliability and scalability of deployed AI systems.">
- Develop and implement rigorous evaluation frameworks for assessing the performance, safety and ethical implications of generative and agentic AI systems and promote principles of responsible AI development.">
- Collaborate effectively with cross-functional teams to translate business requirements into technical solutions and communicate complex AI concepts clearly.">
Requirements
">- ">
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a closely related quantitative field.">
- 3-5 years of hands-on experience in AI/ML engineering with a demonstrable focus on Generative AI and/or Agentic AI projects.">
- Strong practical experience with Generative AI models and their applications.">
- Hands-on experience in designing, building and deploying autonomous AI agents or multi-agent systems.">
- Proficiency in Python and strong experience with major ML frameworks like TensorFlow, PyTorch or Keras.">
- Demonstrated experience with prompt engineering techniques for optimizing LLM behavior.">
- Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform.">
- Solid understanding of machine learning algorithms, deep learning architectures, natural language processing and information retrieval techniques.">
- Familiarity with containerization technologies like Docker and Kubernetes.">
- Experience with MLOps principles and tools for model deployment, monitoring and lifecycle management.">
- Excellent problem-solving, analytical and critical thinking skills.">
- Strong verbal and written communication skills with the ability to articulate complex technical concepts to diverse audiences.">
About This Role
">This is an exciting opportunity to join our team as an AI Cloud Engineer. As a highly skilled and experienced engineer, you will play a key role in designing, developing and deploying advanced AI solutions on leading cloud platforms.
">The ideal candidate will have a strong background in AI/ML engineering with a focus on Generative AI and/or Agentic AI projects. They will be proficient in Python and have experience with major ML frameworks like TensorFlow, PyTorch or Keras.
">The successful candidate will work collaboratively with cross-functional teams to translate business requirements into technical solutions and communicate complex AI concepts clearly.
">We offer a dynamic and challenging work environment with opportunities for professional growth and development.
">Key Skills:
">- ">
- Generative AI">
- Agentic AI">
- LLMs">
- Multi-agent systems">
- Prompt engineering">
- Cloud computing">
- Machine learning">
- Deep learning">
- Natural language processing">
- Information retrieval">
- Containerization">
- MLOps">
- AWS SageMaker">
- Azure ML">
- Google AI Platform">
- Kubernetes">
- TensorFlow">
- PyTorch">
- Keras">
- Docker">
- Python">
How to Apply
">If you are a motivated and talented AI Cloud Engineer looking for a new challenge, please submit your application.
">We look forward to hearing from you
">Note
">Please do not contact us regarding this job posting unless you are qualified to fill the position and prepared to submit your application. We do not accept unsolicited resumes or applications.
"],