AWS Architect with SageMaker and Bedrock

Title- AWS Solution Architect. Exp- 8+ Yrs. Job Location- Baner, Pune, WorkMode-5 Days work from office. Roll-Full time AWS Solutions Architect AI (Bedrock & SageMaker) Experience: 8 10+ Years Education: Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. Job Summary We are looking for an experienced AWS Architect with strong expertise in designing, implementing, & deploying cloud-native AI/ML & Generative AI solutions on AWS. The ideal candidate will have hands-on experience with Amazon Bedrock, Amazon SageMaker, AWS AI services, & modern cloud architecture. The role involves working closely with business stakeholders & engineering teams to build efficient AI applications. Key Responsibilities Design & implement scalable cloud solutions using AWS services. Architect AI & Generative AI applications using Bedrock & foundation models. Build, train, deploy, & monitor machine learning models using SageMaker. Design Retrieval-Augmented Generation (RAG) architectures. Integrate Large Language Models (LLMs) with enterprise applications. Develop AI-powered copilots, document intelligence, & management solutions. Design secure APIs using API Gateway, Lambda, ECS/EKS, & containerized microservices. Implement vector databases such as OpenSearch, Pinecone. Optimize AI workloads for performance, scalability, & cost. Establish CI/CD pipelines for ML & cloud deployments. Implement security best practices, IAM policies, encryption, & governance. Work with cross-functional teams to translate business requirements into technical solutions. Required Skills AWS Cloud AWS Solution Architecture VPC EC2 Lambda ECS EKS S3 IAM CloudFormation / CDK API Gateway CloudWatch Step Functions EventBridge SNS/SQS AI / Machine Learning Amazon Bedrock Amazon SageMaker Prompt Engineering Fine-tuning foundation models Model deployment Feature Store Model Monitoring ML Pipelines Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Embeddings Vector Databases Prompt Engineering Agentic AI AI Guardrails Model Evaluation Programming Python SQL Java or Node.js (preferred) Databases DynamoDB Aurora PostgreSQL OpenSearch Redis DevOps Docker Kubernetes Terraform GitHub Actions Jenkins CodePipeline Preferred Qualifications AWS Certified Solutions Architect Professional or Associate AWS Certified Machine Learning Specialty Experience with Generative AI frameworks such as LangChain, LlamaIndex, or Semantic Kernel Experience integrating OpenAI, Anthropic Claude, Meta Llama, or Amazon Nova models through Amazon Bedrock Knowledge of MLOps best practices Experience building enterprise AI solutions Desired Candidate Profile The ideal candidate should demonstrate: Strong cloud architecture & solution design skills Experience delivering production-grade AI/ML solutions Excellent understanding of AWS Well-Architected Framework Strong communication & stakeholder management skills Ability to lead technical discussions & mentor development teams Problem-solving & analytical mindset