<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <ol><li><strong><em>GenAI Solutions Architect-AWS</em></strong></li></ol><p><strong>Job Title:</strong> Generative AI Solutions Architect for AWS Business Enablement Strategy </p><p><strong>Role Summary:</strong> As the Generative AI Solutions Architect, He/She will be the catalyst for embedding artificial intelligence into the fabric of our business. Mission is to identify, design, and implement high-impact solutions using the AWS AI/ML stack, primarily focusing on Amazon Bedrock and Amazon Q. This role is not just about technology; it's about translating complex business challenges into production-ready, intelligent applications that create new value and a competitive edge.</p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Business Partnership:</strong> Collaborate directly with business leaders in Marketing, Customer Service, R&amp;D, and Operations to identify and prioritize use cases for Generative AI.</li><li><strong>Solution Design &amp; Prototyping:</strong> Architect end-to-end AI solutions on AWS and rapidly build Proofs of Concept (PoCs) using Amazon Bedrock to demonstrate feasibility and business value.</li><li><strong>Technical Leadership:</strong> Act as the company's subject matter expert on foundation models, prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning techniques within the AWS ecosystem.</li><li><strong>Implementation &amp; Integration:</strong> Lead the technical development and integration of AI models into new and existing business applications, using services like AWS Lambda, API Gateway, and Step Functions.</li><li><strong>Champion Responsible AI:</strong> Establish and promote best practices for developing and deploying AI that is secure, fair, transparent, and compliant with industry regulations.</li></ul><p><strong>Required Qualifications:</strong></p><ul><li>Proven track record of technical leadership with 12+ years in the technology industry, demonstrating the ability to architect and deliver complex, large-scale solutions from concept to production.</li><li>6+ years of experience in a solutions architecture or software engineering role with a deep, hands-on focus on the AWS ecosystem.</li><li>Proven experience building solutions with Amazon Bedrock, including model evaluation, RAG patterns with Amazon Kendra or OpenSearch, and an understanding of fine-tuning.</li><li>Strong programming proficiency in Python and deep familiarity with the AWS SDK (Boto3) for interacting with AWS services.</li><li>Architectural knowledge of building secure and scalable applications using core AWS services (e.g., IAM, VPC, S3, Lambda, API Gateway).</li><li>Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>AWS Certified Solutions Architect - Professional or AWS Certified Machine Learning - Specialty.</li><li>Experience with the broader Amazon SageMaker suite for custom model training and MLOps.</li><li>Familiarity with other ML frameworks such as TensorFlow or PyTorch.</li><li>Experience deploying AI solutions in a regulated industry</li></ul> </div>