GEN AI architect
Location: New Jersey

Translate customer pain points and goals into actionable GenAl strategies and roadmaps.
Solution Design & Technical Leadership:
Architect scalable, secure, and cost-effective GenAl solutions using AWS services (Bedrock, SageMaker,
Lambda, etc.).
Collaborate 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.
Proven ability to simplify complex technical concepts for non-technical stakeholders.
Strong problem-solving and consultative mindset.
Innovation & Best Practices:
Stay up to date with the latest in Generative Al, LLMs, and AWS innovations; proactively bring forward new ideas.
Define and promote best practices, reusable assets, and frameworks for GenAl implementations.

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, with at least 5 years focused on Al/ML and 1+ year specifically on Generative Al.
Technical Skills:
Deep knowledge of AWS services, particularly SageMaker, Bedrock, EC2, Lambda, S3, and IAM.
Familiarity with LLMs (e.g., Claude, Titan, GPT,
LLaMA) and prompt engineering techniques.
Experience building Al-powered applications with real-world impact (chatbots, summarizers, copilots, etc.).
Stakeholder Engagement:
Work closely with business and technical stakeholders to identify, assess, and prioritize Generative Al use cases across industries.
Translate customer pain points and goals into actionable GenAl strategies and roadmaps.
Solution Design & Technical Leadership:
Architect scalable, secure, and cost-effective GenAl solutions using AWS services (Bedrock, SageMaker,