Artificial Intelligence Architect

20 hours ago

Aurangabad, Maharashtra, India beBeeMachineLearning Full time ₹ 25,00,000 - ₹ 30,00,000
Job Opportunity

We are seeking a seasoned professional with exceptional technical expertise to lead our Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The ideal candidate will have extensive experience in designing, implementing, and deploying scalable AI/ML solutions using cloud-based services.

This role involves architecting complex AI/ML applications, ensuring optimal performance, security, and scalability while collaborating with cross-functional teams. Our team is committed to driving innovation and delivering cutting-edge AI-driven solutions that meet the evolving needs of our clients.

Key Responsibilities:
  • Technical Leadership & Architecture
    • Design and implement secure, 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.
Requirements
  • Bachelor's degree in Computer Science or related field.
  • At least 9 years of experience in AI/ML development, deployment, and architecture.
  • Expert-level knowledge of AWS services, including SageMaker, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
  • Proven track record of designing and implementing scalable AI/ML solutions.
  • Strong leadership skills, with experience leading cross-functional teams.
Benefits
  • Competitive salary and benefits package.
  • Ongoing training and professional development opportunities.
  • Collaborative and dynamic work environment.

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