Description:
This resource will be joining Windows team, collaborating with various sectors within infrastructure like Security and Networking to create, launch, and support AI based cloud and hybrid applications. Given the collaborative requirements of this position, it is essential that the candidate possesses advanced Gen AI/AWS/technical skills alongside strong interpersonal abilities. The candidate should demonstrate a strong blend of technical skill and industry knowledge and exhibit excellent communication, teamwork, customer service, and leadership qualities to effectively engage with cloud engineering, Power Platform engineering team, information security, and line of business teams.
Responsibilities:
Translate the business requirements for AI applications into viable AI solutions within AWS
Select appropriate AWS technologies, considering deployment models and their seamless integration with existing tools
Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop production-ready solutions
Gather feedback from diverse stakeholders to ensure that the technical implementation aligns with both current and future AI requirements
Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI usage and compliance
Gain an understanding of and contribute to LLM operations, focusing on the infrastructure and operational capabilities required to deploy AWS AI solutions
Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization
Integrate security best practices into solutions to facilitate streamlined CI/CD pipelines for deployment and secure software delivery
Establish the AWS OpenAI service in Microsoft AWS with an architecture tailored to support business teams
Requirements:
At least 5 years of experience in implementing cloud-based AI workloads on AWS, delivering production grade solutions
Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field
At least 1 year of experience in implementing AWS OpenAI solutions
Generative AI, Deep Learning, Machine learning, LLMOps
LLM Experience in prompting & fine-tuning in GPT3.5/Turbo, GPT-4/4o is a must. Experience in other LLMs would be a plus.
Certifications in AI/ML technologies and Cloud platforms, such as AWS AI Engineer Associate (AZ-102)
Certification in AWS Solutions Architect Expert and other cloud platforms e.g. AWS, Google would be a plus.
Programing experience in one of the languages - Python, R, Java, C#
Cloud Services Expertise: AWS OpenAI, Document Intelligence, AI Search, Cosmos DB, App service, Managed Identities, Customer Managed Keys, AWS IaaS and PaaS solutions, Copilot Studio
Experience in CI/CD Tools Bitbucket, Terraform is a must.
Experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional, stress and performance testing
Strong knowledge of business analysis, requirement gathering, and gap analysis
Strong communication, presentation, and interpersonal skills
Fast learner, individual as well as a team player and can work under pressure
Power Automate development experience would be a plus
