Senior Cloud Architect

6 days ago

Mount Abu, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 25,00,000 - ₹ 40,00,000
AI/ML Solutions Architect

We are seeking an experienced Technical Architect to lead the design and implementation of scalable, secure, and high-performance AI/ML applications on AWS.

This role involves architecting multi-tenant, enterprise-grade AI/ML solutions using various AWS services, such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.

Key Responsibilities:

  • Design and implement scalable architectures for AI/ML applications on AWS.
  • Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services.
  • Lead full lifecycle development of AI/ML solutions from proof-of-concept to production.
  • Define and implement best practices for MLOps, DataOps, and DevOps on AWS.

AI/ML & Generative AI Expertise:

  • Design Conversational AI, RAG, and Generative AI architectures using models like Claude, Mistral, Llama, and Titan.
  • Optimize LLM 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.

Cloud & Infrastructure Management:

  • 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.

Team & Client Engagement:

  • Lead and mentor a team of ML engineers, Python Developers, and Cloud Engineers.
  • Collaborate with business stakeholders, product teams, and multiple clients to define requirements and deliver AI/ML-driven solutions.
  • Conduct technical workshops, training sessions, and knowledge-sharing initiatives.

Required Skills & Qualifications:

  • 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

AI/ML & GenAI:

  • 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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