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.

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

📌 AWS Architect (Pune)
🏢 Pratiti Technologies
📍 Pune