AWS AI Solutions Engineer

Position: AWS AI Solutions Engineer

Location: New York City, NY

Duration: Full Time

Job Responsibilities

We are seeking a skilled AWS AI Solutions Engineer to translate business requirements into viable AI solutions on the AWS platform. The ideal candidate will have extensive experience in selecting appropriate AWS technologies, designing production-ready solutions, and ensuring ethical AI usage. This role will involve close collaboration with various teams to develop and implement innovative AI applications that meet organizational goals.

Key Responsibilities:

• Requirements Translation: Translate business requirements for AI applications into actionable and viable AI solutions within the AWS ecosystem.
• Technology Selection: Evaluate and select appropriate AWS technologies, considering various deployment models and their seamless integration with existing tools and workflows.
• Collaboration: Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop scalable, production-ready AI solutions.
• Stakeholder Engagement: Gather feedback from diverse stakeholders to ensure that technical implementations align with current and future AI requirements and business objectives.
• Risk Mitigation: Work closely with security and risk leaders to foresee potential risks, ensuring compliance and ethical usage of AI technologies.
• LLM Operations: Gain an understanding of and contribute to Large Language Model (LLM) operations, focusing on the infrastructure and operational capabilities necessary for deploying AWS AI solutions.
• Tool Development: Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization to facilitate efficient AI workflows.
• Security Best Practices: Integrate security best practices into AI solutions to enable streamlined CI/CD pipelines for deployment and secure software delivery.
• AWS OpenAI Service: Establish and configure the AWS OpenAI service within Microsoft AWS, creating an architecture tailored to support the needs of business teams.

Qualifications:

• Bachelor’s Degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in AI application development on AWS, with a strong understanding of cloud architecture.
• Proven experience in translating business requirements into technical solutions, particularly in AI and machine learning contexts.
• Strong understanding of LLMs and their operational requirements.
• Experience working with cross-functional teams, including architecture, development, and business stakeholders.
• Knowledge of security best practices related to AI applications and cloud deployments.
• Proficiency in programming languages such as Python, Java, or R.
• Excellent communication, problem-solving, and interpersonal skills.