Gen AI Architect Role
A key objective of this role is to leverage expertise in Generative AI technologies like Amazon Q and Bedrock to architect and develop end-to-end solutions. This entails designing and implementing robust solution blueprints that seamlessly integrate Generative AI capabilities into existing systems or applications.
Key responsibilities include:
* Designing and implementing enterprise-scale Generative AI solutions using Amazon Q and AWS AI/ML services
* Creating strategies for optimizing AI application performance, scalability, and cost-effectiveness
* Fostering knowledge sharing and developing reusable frameworks for AI application deployment
* Guiding cross-functional teams in integrating AI solutions while considering user experience and accessibility
* Ensuring security compliance and best practices in AI implementation
Additionally, the role involves working with customers to understand their needs and presenting AI solution proposals. It also requires collaborating closely with Strategists and customer stakeholders to translate requirements into technical specifications.
This role offers opportunities to develop scalable and secure Generative AI solutions within an organization. It requires a deep understanding of AWS data services and data analytics, as well as experience in designing and implementing cloud-based solutions.
Required skills and qualifications include:
* 3+ years of architecture/design and implementation of cloud-based solutions
* 3+ years of consulting or professional services experience
* 3+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
* 3+ years of software development with object-oriented language experience
* Bachelor's degree, or 7+ years of professional or military experience
Preferred qualifications include experience leading the architecture and implementation of AI/ML workloads, as well as a proven track record of delivering robust, scalable solutions in complex technical environments.
The benefits of this role include:
* Opportunities for career growth and professional development
* A diverse and inclusive team culture
* Flexible work arrangements and a healthy work-life balance
Others note this role requires travel and collaboration with global teams. It also emphasizes the importance of continuous learning and skill development in the field of Generative AI.