What are the responsibilities and job description for the AWS Generative AI Architect position at San R&D Business Solutions LLC?
Role OverviewWe are seeking an experienced AWS Generative AI Architect to design and lead the implementation of scalable, secure, and production-grade cloud solutions integrating advanced Generative AI (GenAI) capabilities.The ideal candidate will possess deep expertise in AWS cloud architecture, strong hands-on experience with LLMs and GenAI platforms, and the ability to architect enterprise-grade AI solutions including RAG-based systems and AI-driven applications.Key ResponsibilitiesDesign and implement end-to-end cloud-native architectures on AWS aligned with business and technical requirements.Architect and deliver Generative AI solutions leveraging LLMs, RAG pipelines, and AI orchestration frameworks.Lead technical architecture discussions and create high-level and low-level design documentation.Define and enforce best practices for scalability, security, reliability, and cost optimization.Design multi-account and multi-region AWS environments following AWS Well-Architected Framework principles.Integrate GenAI and AI services into enterprise platforms and microservices-based applications.Establish governance standards including AI security, compliance, and responsible AI practices.Provide technical leadership, guidance, and mentorship to engineering teams.Evaluate emerging GenAI technologies and recommend scalable architectural solutions.Collaborate closely with product, engineering, DevOps, and business stakeholders to deliver robust solutions.RequirementsRequired Skills & ExperienceAWS Cloud Expertise5 years of strong hands-on experience with AWS services including:AWS LambdaAmazon EC2Amazon ECS / EKSAmazon S3Amazon RDS / AuroraAmazon DynamoDBAmazon API GatewayAWS Step FunctionsAmazon OpenSearchAWS IAMAmazon CloudWatchAWS CloudFormation or TerraformExperience with serverless and microservices-based architectures.Expertise in multi-region deployments, high availability design, and disaster recovery.Strong background in performance optimization and cloud cost management.Generative AI & LLM ExpertiseHands-on experience with LLMs and Generative AI platforms (OpenAI, Anthropic, or open-source models).Experience working with Amazon Bedrock and managed AI services.Strong experience designing RAG (Retrieval-Augmented Generation) architectures.Experience with vector databases such as OpenSearch, Pinecone, or FAISS.Knowledge of prompt engineering, evaluation frameworks, and AI model integration.Understanding of AI security, guardrails, and compliance considerations.Educational QualificationB.E. / B.Tech in Computer Science, Information Technology, or a related technology field.Soft SkillsStrong communication and collaboration skills.Ability to work effectively with cross-functional and distributed teams.Excellent problem-solving and architectural decision-making abilities.Leadership mindset with experience guiding engineering teams.
Salary : $110,000 - $150,000