Description

Architect end-to-end Generative AI solutions on AWS infrastructure, translating business pain points into scalable, secure, and cost-effective strategies. You will lead the design of production-level AI applications, from data ingestion to model deployment, collaborating closely with Data Scientists and ML Engineers.

This role is hybrid.

Responsibilities

• Identify and prioritize Generative AI use cases by collaborating with business and technical stakeholders.
• Translate customer goals into actionable GenAI strategies and roadmaps.
• Design end-to-end solutions using AWS services, ensuring scalability and security.
• Build AI-powered applications such as chatbots, summarizers, or copilots.
• Partner with Data Scientists and ML Engineers to deploy models to production.

Required Skills

• 15+ years of experience in cloud solutions.
• 5+ years of experience in AI/ML.
• 1+ year of hands-on experience in Generative AI.
• Deep knowledge of AWS services including SageMaker, Bedrock, EC2, Lambda, S3, and IAM.
• Familiarity with LLMs (Claude, Titan, GPT, LLaMA) and prompt engineering techniques.
• Experience building production-level, AI-powered applications.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Preferred Skills

• Exceptional communication and presentation skills for stakeholder alignment.

Key Skills

Education

Any Graduate