Solutions Architect

Job TitleEducation 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 AI/ML and 1+ year specifically on Generative AI. 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 AI 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 AI use cases across industries. Translate customer pain points and goals into actionable GenAI strategies and roadmaps. Solution Design Technical Leadership: Architect scalable, secure, and cost effective GenAI 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.