
Principal Data Architect
2 days ago
Job Summary
We are seeking a seasoned Cloud Architect with expertise in designing and implementing cloud-based AI solutions. This role involves leading the development of end-to-end AI/ML applications, ensuring best practices in cloud deployment, security, and scalability.
Key Responsibilities- Design scalable, secure, and high-performance architectures for AI/ML applications on AWS.
- Architect multi-tenant AI/ML solutions using AWS services like SageMaker, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
- Lead full lifecycle development of AI/ML solutions from proof-of-concept to production, ensuring reliability and performance.
- Design conversational AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
- Optimize Large Language Model inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
- Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.
- Architect event-driven, serverless, and microservices architectures for AI/ML applications.
- Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
- Implement IAM, VPC, security best practices, and compliance.
- Lead and mentor a team of engineers to develop AI/ML solutions.
- Collaborate with business stakeholders and clients to define requirements and deliver AI/ML-driven solutions.
- AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
- MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)
- Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito
- LLMs & Generative Ai: Bedrock (Claude, Mistral, Titan), OpenAI, Llama
- ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face
- Vector DBs: OpenSearch, Pinecone, FAISS
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