Expert AI Architect

7 hours ago

Surat, Gujarat, India beBeeData Full time ₹ 25,00,000 - ₹ 30,00,000
Job Title

Data Architect

Job Description

We are seeking a seasoned Data Strategist to spearhead the design and implementation of cutting-edge AI-driven solutions.

The ideal candidate will have extensive experience in cloud-based architecture, technical leadership, and innovation management.

This role involves architecting scalable, secure, and high-performance data architectures for AI/ML applications while collaborating with cross-functional teams.

Key Responsibilities:

  • Technical Leadership & Architecture: Design and implement best-in-class data 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 PoC 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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