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 robust 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.
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
📌 AWS Architect (Pune)
🏢 Pratiti Technologies
📍 Pune
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