Chief Cloud AI Architect

14 hours ago

Coimbatore, Tamil Nadu, India beBeeAI Full time ₹ 20,00,000 - ₹ 30,00,000
Technical Lead for Cloud AI/ML Architectures

About the Role:

We are seeking an accomplished Technical Lead with extensive expertise in designing and implementing scalable, secure, and high-performance architectures on AWS for AI/ML applications.

The ideal candidate will have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions with a strong background in machine learning and software engineering.

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

  • Key Responsibilities:
  • 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 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, 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.
  • Multi-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.
Required Skills and Qualifications
  • Expertise in AWS Services: SageMaker Bedrock Lambda API Gateway DynamoDB ECS S3 OpenSearch and Step Functions
  • Strong background in machine learning and software engineering
  • Experience with CI/CD pipeline tools such as CodePipeline GitHub Actions Terraform and CDK
  • Knowledge of security best practices and compliance regulations
Benefits

As a Technical Lead at our company you will have the opportunity to work on challenging projects collaborate with talented colleagues and contribute to the growth and success of our organization.

Others

If you are passionate about AI/ML technologies and have the skills and qualifications outlined above we encourage you to apply for this exciting opportunity.

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