Gen AI Architect

SKILL REQUIREMENTS

- Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

- 8-10 years of hands-on experience in architecting and deploying AI/ML solutions, with a focus on generative AI and LLMs.

- Deep expertise in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, and related technologies.

- Strong proficiency in cloud platforms (AWS, Azure, Google Cloud) for AI solution deployment and management.

- Advanced programming skills in Python and experience with scalable microservices architecture.

- Demonstrated ability to design and implement secure, efficient, and robust AI systems in a production environment.

- Proven track record of leading cross-functional teams and delivering complex technical projects.

- Excellent communication, presentation, and stakeholder management skills.

- Familiarity with MLOps, CI/CD pipelines, and model governance practices.

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OTHER REQUIREMENTS (OPTIONAL)

- Certifications in AI/ML, Cloud Architecture, or related technologies (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate).

- Experience with Responsible AI, ethical AI practices, and regulatory frameworks.

- Exposure to industry domains such as finance, healthcare, retail, or manufacturing.

- Prior experience with open-source AI projects or contributing to AI research publications.