Overview
The Generative AI Architect plays a pivotal role in designing and implementing innovative AI solutions that drive business value and enhance product offerings. With a focus on generative models this position involves leveraging deep learning data integration and cloud technologies to create sophisticated AI architectures that can adapt and grow with the organization s needs. The Generative AI Architect will work closely with crossfunctional teams including data scientists software engineers and product managers to transform complex business problems into scalable and efficient AI capabilities. This role is critical for organizations aiming to harness the power of AI to improve customer experiences personalizations and operational efficiencies. Moreover as generative technologies gain prominence the Architect will ensure that the organizations models are not only cuttingedge but also ethical and compliant with industry regulations. With an emphasis on continual learning and adaptation this architect will help in steering the company towards a future empowered by intelligent systems.
Key Responsibilities
- Design robust architectures for generative AI models.
- Collaborate with data scientists to optimize algorithms and datasets.
- Evaluate and implement cloudbased solutions for AI processing.
- Conduct performance tuning and scalability assessments.
- Develop APIs for model integration with existing systems.
- Ensure compliance with ethical guidelines in AI development.
- Stay updated on industry trends and emerging technologies.
- Provide technical leadership and mentoring for junior team members.
- Prepare and present architectural proposals to stakeholders.
- Lead crossfunctional workshops to gather project requirements.
- Document architecture design and implementation processes.
- Monitor and maintain AI model performance and relevance.
- Implement best practices for DevOps within AI projects.
- Coordinate with external vendors for specialized AI tools.
- Manage project timelines and deliverables effectively.
Required Qualifications
- Bachelors or Masters degree in Computer Science AI or a related field.
- 68 years of handson experience in AI architecture.
- Strong expertise in generative models including GANs and VAEs.
- Proficient in programming languages such as Python and Java.
- Experience with AI frameworks like TensorFlow PyTorch or Keras.
- Solid understanding of cloud platforms such as AWS Azure or Google Cloud.
- Familiarity with database architectures and big data technologies.
- Proven ability to work in Agile development environments.
- Experience with data engineering and ETL processes.
- Outstanding problemsolving capabilities and analytical skills.
- Excellent written and verbal communication skills.
- Experience with version control systems such as Git.
- Understanding of security and compliance issues in AI.
- A track record of successful AI project implementations.
- Willingness to learn and adapt to new technologies and methodologies.
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