Artificial Intelligence Architect
We are seeking a seasoned Artificial Intelligence (AI) Architect with expertise in both traditional AI and generative AI to design and lead the implementation of scalable, robust, and efficient solutions.
Key Responsibilities:
* AI Solution Architecture: Design architectures for AI solutions that integrate traditional machine learning, deep learning, and generative models such as LLMs and diffusion models.
* Business Alignment: Define AI implementation strategies that ensure scalability, efficiency, and regulatory compliance within business environments.
* Technology Selection: Evaluate and select technologies, frameworks, and tools to optimize the development and deployment of AI models.
* Cloud Integration: Integrate AI solutions with cloud architectures using hyperscale services such as AWS, GCP, and Azure.
* AIOps and MLOps: Monitor the full lifecycle of AI models from experimentation to production with AIOps and MLOps practices.
* Data Governance: Ensure data quality, security, and regulatory compliance adhering to standards like GDPR and HIPAA.
* Team Leadership: Lead multidisciplinary teams in the development of AI-based solutions.
* Tech Evaluation: Continuously evaluate new AI technologies and their applicability in the business.
* Cost Optimization: Optimize cloud AI infrastructure costs while ensuring performance and efficiency.
* Best Practices: Establish best practices in AI model development, implementation, and monitoring.
Requirements:
* Degree in Computer Science, Systems Engineering, Mathematics, or a related field.
* More than 5 years of experience in AI solution architecture, including generative AI.
* Advanced knowledge of AI frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.
* Experience in generative AI, including LLMs and diffusion models.
* Proficiency in data processing with tools like Pandas, Spark, and SQL / NoSQL databases.
* Knowledge in vector databases and Generation Augmented Retrieval systems.
* Experience in developing AI APIs for internal and external consumption.
* Familiarity with production model optimization techniques.
* Technical leadership skills and communication with stakeholders.
* Certifications in AWS, Azure, or GCP in Machine Learning / AI.
* AI publications or contributions to the open-source community.
Benefits:
* Opportunity to work on innovative AI projects across multiple sectors.
* Continuous training plan in emerging technologies.
* Remote or hybrid work with flexible schedules.
* Dynamic environment with high-level technical teams.