Overview
The AI Architect is a pivotal role within our organization responsible for designing and implementing innovative AI solutions that enhance our products and services. This position entails collaborating with crossfunctional teams to integrate AI technologies into business processes effectively. The AI Architect will leverage their expertise in machine learning data analysis and software engineering to drive AI strategies and foster a culture of datadriven decisionmaking. With the increasing reliance on AI in modern industries the architect plays a crucial role in ensuring that our AI initiatives align with business goals and deliver value to our customers. They will be responsible for evaluating emerging technologies defining architecture standards and ensuring best practices in AI development and deployment. The successful candidate will possess a blend of technical skills and project management acumen allowing them to work seamlessly across various teams while championing our organizations AI vision.
Key Responsibilities
- Design and implement AI architectures for scalable systems.
- Collaborate with data scientists and engineers to develop machine learning models.
- Evaluate and integrate thirdparty AI platforms and tools.
- Define project scopes and objectives related to AI initiatives.
- Lead architectural discussions and provide guidance on best practices.
- Document architecture designs and communicate them to stakeholders.
- Conduct feasibility studies and assess architectural solutions.
- Ensure compliance with data security and privacy regulations.
- Monitor AI system performance and make adjustments as needed.
- Guide teams in deploying AI solutions in cloud environments.
- Create and maintain architectural standards and guidelines.
- Engage with stakeholders to gather requirements for AI projects.
- Provide mentorship to junior architects and developers.
- Stay updated on industry trends and emerging AI technologies.
- Facilitate training sessions to enhance team capabilities in AI.
Required Qualifications
- Bachelors degree in Computer Science Engineering or related field.
- Masters degree in AI Data Science or related discipline preferred.
- 10 years of experience in AI architecture or related roles.
- Strong knowledge of machine learning frameworks (e.g. TensorFlow PyTorch).
- Experience with cloud platforms (AWS Google Cloud Azure).
- Proficiency in programming languages such as Python Java or Scala.
- Solid understanding of data engineering principles and practices.
- Experience with big data technologies (Hadoop Spark Kafka).
- Excellent analytical and problemsolving skills.
- Strong communication and interpersonal skills.
- Project management experience preferred.
- Familiarity with DevOps practices in AI deployment.
- Knowledge of API design and development.
- Experience working in Agile/Scrum environments.
- Public speaking experience for stakeholder presentations.
- Relevant certifications in AI or cloud technologies are a plus.
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