Chief Cloud Architectural Officer

7 days ago

Kollam, Kerala, India beBeeExpertise Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI/ML Architect

We seek a seasoned Technical Professional with expertise in cloud computing, AI/ML and scalable production-level architectures. The ideal candidate should have experience handling multiple projects, leading technical teams and designing end-to-end cloud-based solutions.

This role involves architecting AI/ML applications, ensuring best practices in cloud deployment, security and scalability while collaborating with cross-functional teams.

  • 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, Lambda, API Gateway, DynamoDB, S3 and ECS.
  • Lead full lifecycle development of AI/ML solutions—from PoC to production—ensuring reliability and performance.
  • Define and implement best practices for MLOps, DataOps and DevOps on AWS.
  • AI/ML Expertise
  • Design Conversational AI, RAG (Retrieval-Augmented Generation) and Generative AI architectures using models like Claude (Anthropic), Mistral and Llama.
  • 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 and security best practices.
  • Team & Client Engagement
  • Lead and mentor a team of ML engineers, Python developers and cloud engineers.
  • Collaborate with business stakeholders, product teams and clients to define requirements and deliver AI/ML solutions.
  • Conduct technical workshops, training sessions and knowledge-sharing initiatives.
  • Client & Business Strategy
  • Manage multiple client engagements, delivering AI/ML solutions tailored to their business needs.
  • Define AI/ML 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.

Key Skills & Technologies:

Cloud & DevOps:

  • AWS Services: SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS
  • MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions)
  • Security: IAM, VPC

AI/ML & GenAI:

  • LLMs & Generative AI: Claude (Anthropic), Mistral, Llama
  • ML Frameworks: TensorFlow, PyTorch
  • Vector DBs: OpenSearch, Pinecone
  • RAG Pipelines, Prompt Engineering, Fine-tuning

Software Architecture & Scalability:

  • Serverless & Microservices Architecture
  • API Design & GraphQL
  • Event-Driven Systems (SNS, SQS, EventBridge)

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