AI Architect

Collaborate with Business Stakeholders:
Work closely with business leaders to understand organizational goals, challenges, and opportunities where AI solutions can provide value.
Translate business requirements into technical specifications and design scalable AI architectures that align with strategic objectives.
Design Scalable AI Systems:
Architect end-to-end AI systems that are scalable, efficient, and maintainable.
Evaluate and select appropriate AI technologies and frameworks to meet project requirements.
Provide technical leadership in the development and deployment of AI solutions.
Generative AI Systems:
Demonstrate hands-on experience in productionizing generative AI based systems.
Implement and optimize algorithms for LLM models, ensuring they meet both performance and reliability criteria.
Stay abreast of the latest advancements in generative AI and integrate cutting-edge techniques into our systems.
Software Engineering:
Apply solid software engineering principles to develop robust and maintainable code.
Collaborate with software development teams to integrate AI components seamlessly into existing systems.
Conduct code reviews and ensure adherence to best practices and coding standards.
Communication:
Act as a bridge between technical and non-technical stakeholders, effectively communicating complex AI concepts in a clear and understandable manner.
Present AI solutions to diverse audiences, including executives, project teams, and external partners.
Foster a collaborative and knowledge-sharing culture within the organization.
Continuous Learning:
Stay informed about the latest trends, tools, and technologies in AI and machine learning.
Lead initiatives to incorporate emerging technologies into the AI architecture to enhance system capabilities.
Qualifications:
Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Proven experience as an AI Architect or similar role.
Strong background in software engineering with expertise in designing and implementing scalable systems.
Hands-on experience in productionizing generative AI-based systems.
Proficient in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Demonstrated leadership in driving AI projects from conception to deployment.