Senior Cloud AI Solutions Engineer

1 day ago

Malappuram, Kerala, India beBeeAI Full time ₹ 3,00,00,000 - ₹ 4,00,00,000
Job Title: AI Solutions ArchitectAbout the Role

We are seeking a seasoned Technical Architect with expertise in designing and implementing scalable, secure, and high-performance architectures on AWS for AI/ML applications.

This individual should have experience handling multiple clients, leading technical teams, and delivering end-to-end cloud-based AI solutions that meet business requirements.

Key Responsibilities:
  • Technical Leadership & Architecture:
    • Design and implement scalable architectures on AWS for AI/ML applications using best practices for MLOps, DataOps, and DevOps.
    • Architect multi-tenant enterprise-grade AI/ML solutions using AWS services like SageMaker, 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.
  • Ai/ml Expertise:
    • Design Conversational AI and Generative AI architectures using models like Claude (Anthropic), Mistral, Llama, and Titan.
    • Optimize LLM inference pipelines 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:
    • 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 and Cloud Engineers.
    • Collaborate with business stakeholders and multiple clients to define requirements and deliver AI-driven solutions.
  • Multiclient Strategy:
    • Manage multiple client engagements delivering tailored AI solutions to their business needs.
    • Define AI roadmaps and go-to-market strategies for AI offerings.
    Requirements
    • Expertise in AWS services including SageMaker, Lambda, API Gateway, and DynamoDB.
    • Strong understanding of AI/ML concepts including Conversational AI and Generative AI.
    • Experience with MLOps, DataOps, and DevOps practices.
    • Leadership skills to lead technical teams and manage client engagements.

The ideal candidate should possess excellent communication and collaboration skills to work effectively with cross-functional teams.

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