Cloud AI Strategist

2 days ago

Mumbai, Maharashtra, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Senior Cloud AI Architect

We are seeking a highly skilled Senior Cloud AI Architect with expertise in AWS, Generative AI, AI/ML, and scalable production-level architectures.

The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions.

Key Responsibilities
  • Technical Leadership & Architecture
    • Design and implement scalable, secure, and high-performance architectures on AWS for AI/ML applications.
    • Architect multi-tenant, enterprise-grade AI/ML solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
    • Lead full lifecycle development of AI/ML/GenAI solutions—from proof-of-concept to production—ensuring reliability and performance.
    • Define and implement best practices for MLOps, DataOps, and DevOps on AWS.
  • Ai/ml & Generative Ai Expertise
    • Design Conversational AI, RAG (Retrieval-Augmented Generation), and Generative AI architectures using models like Claude (Anthropic), 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/GenAI-driven solutions.
    • Conduct technical workshops, training sessions, and knowledge-sharing initiatives.
  • Multi-client & Business Strategy
    • Manage multiple client engagements, delivering AI/ML/GenAI solutions tailored to their business needs.
    • Define AI/ML/GenAI roadmaps, proof-of-concept strategies, and go-to-market AI solutions.
    • Stay updated on cutting-edge AI advancements and drive innovation in AI/ML offerings.

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