AI Engineering / Architect

Key Responsibilities:

• Design and Development:
  • Design scalable cloud-based Generative AI solutions that integrate state-of-the-art generative AI models.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Develop and maintain architectural blueprints and technical documentation.

• Cloud Infrastructure:
  • Architect secure and scalable cloud infrastructures that support the deployment and operation of generative AI models.
  • Ensure high availability, data integrity, and compliance with industry standards and best practices.
  • Optimize cloud resources for performance, cost-efficiency, and scalability.

• Security and Compliance:
  • Implement robust security measures to protect data and AI models from unauthorized access and cyber threats.
  • Ensure compliance with relevant industry standards, regulations, and data privacy laws.
  • Conduct regular security assessments and audits to identify and mitigate potential risks.

• Collaboration and Leadership:
  • Work closely with data scientists, machine learning engineers, and other stakeholders to integrate AI models into production environments.
  • Provide technical leadership and mentorship to junior team members.
  • Stay up-to-date with the latest advancements in AI and cloud technologies and incorporate them into the architecture.

• Performance Monitoring and Optimization:
  • Monitor the performance of deployed AI models and cloud infrastructure.
  • Identify and resolve performance bottlenecks and scalability issues.
  • Implement continuous improvement processes to enhance system performance and reliability.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as an AI Architect, Cloud Architect, or similar role.
• Strong expertise in designing and deploying cloud-based AI solutions using platforms such as AWS, Azure, or Google Cloud.
• In-depth knowledge of generative AI models, machine learning frameworks, and AI deployment best practices.
• Experience with cloud infrastructure, including networking, storage, and security.
• Familiarity with industry standards and regulations related to data privacy and security.
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Strong communication and collaboration skills.

Preferred Skills:

• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience in natural language processing (NLP).
• Familiarity with big data technologies and data engineering.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Certification in cloud architecture or AI/ML is a plus.