Senior AI Solution Architect

Location : Secaucus, NJ, 07094

Job Description
Education & Experience

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

15+ years of experience in cloud solutions, including:

At least 5 years focused on AI/ML.

1+ year specifically working on Generative AI.

Technical Skills

Deep expertise in AWS services, including SageMaker, Bedrock, EC2, Lambda, S3, and IAM.

Proficiency with Large Language Models (LLMs) such as Claude, Titan, GPT, and LLaMA, including prompt engineering techniques.

Proven experience building impactful AI-powered applications (e.g., chatbots, summarizers, copilots).

Stakeholder Engagement

Collaborate closely with business and technical stakeholders to identify, assess, and prioritize Generative AI use cases across various industries.

Translate customer pain points and goals into actionable Generative AI strategies and roadmaps.

Solution Design & Technical Leadership

Architect scalable, secure, and cost-effective Generative AI solutions leveraging AWS services (e.g., Bedrock, SageMaker, Lambda).
Partner with Data Scientists, ML Engineers, and Cloud Architects to design end-to-end solutions, from data ingestion to model deployment.

Soft Skills

Exceptional communication and presentation skills.