Gen AI and AWS Bedrock

Job Description

Job Description: Agentic AI solution designer: Strong one. .Someone who is well verse with AWS bedrock agentic AI solution. However at same time also able to support other open source agentic frameworks and hyperscaler based solution design. This person has to be vocal, good communication as will be working with client delivery team in close proximity. AI consultant : hand on expert that can look at the design and convert to the prototyping in 2-3 week time frame so that it could be demoed to client. AWS Bedrock Competence: Demonstrated proficiency in utilizing and integrating with Amazon Bedrock, including a strong understanding of its foundation models and capabilities. GenAI Agents: Deep understanding of the concepts, architectures, and practical implementation of Generative AI Agents, including experience with relevant frameworks and methodologies. Python Language: Excellent programming skills in Python, with experience in developing and deploying applications. Solution Design Leadership: Lead the technical design and architecture of innovative GenAI Agents App solutions tailored to meet specific customer requirements and business objectives. Customer Engagement: Act as the primary technical point of contact during the pre-sales process, effectively communicating the value proposition and technical capabilities of our GenAI Agents offerings to both technical and non-technical audiences. Requirements Gathering: Deeply understand customer business challenges and translate them into clear, concise technical requirements and solution specifications. Proposal Development: Create compelling technical proposals, presentations, and demonstrations that showcase our GenAI Agents App solutions and their potential impact. Technical Consultation & collaboration: Work closely and provide expert technical guidance and support to the sales team service delivery and customers units throughout the pre-sales cycle. Solution Presentation: Confidently present proposed solutions, address technical questions, and articulate the technical advantages of our offerings. Hands-on Development: Actively participate in the design, development, and prototyping of new features, functionalities, and improvements for our GenAI Agents platform. Proof of Concept (POC) Development: Build and demonstrate functional POCs to validate technical feasibility and explore new application areas for GenAI Agents. Code Contribution: Write efficient Python code for R&D projects.