Chief AI Architect

16 hours ago

India beBeeAI Full time ₹ 15,00,000 - ₹ 20,00,000

We're seeking a seasoned AI Architect to spearhead the development of cutting-edge AI/ML solutions.

As a key member of our team, you'll be responsible for designing and implementing scalable, secure, and high-performance architectures on AWS for AI/ML applications.

The ideal candidate will have expertise in architecting multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.

Key Responsibilities
  1. Design and implement cloud-based AI/ML architectures that meet business requirements and ensure scalability, security, and performance.
  2. Lead full lifecycle development of AI/ML solutions from proof-of-concept to production, ensuring reliability and performance.
  3. Define and implement best practices for MLOps, DataOps, and DevOps on AWS.
Ai/ml & Generative Ai Expertise
  1. Design conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
  2. Optimize LLM inference pipelines, embeddings, vector search, and hybrid retrieval strategies for AI-based applications.
  3. Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.
Cloud & Infrastructure Management
  1. Architect event-driven, serverless, and microservices architectures for AI/ML applications.
  2. Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
  3. Implement IAM, VPC, security best practices, and compliance.

Requirements:

  • Expertise in AWS services such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
  • Proven experience in designing and implementing AI/ML architectures, MLOps, DataOps, and DevOps on AWS.
  • Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
  • Familiarity with cloud-based infrastructure management, including event-driven, serverless, and microservices architectures.

Benefits:

  • Opportunity to work on cutting-edge AI/ML projects and contribute to the development of innovative solutions.
  • Collaborative and dynamic work environment with a team of experienced professionals.
  • Ongoing training and professional development opportunities to enhance skills and knowledge.

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