Cloud Architect for AI/ML Solutions

5 days ago

Thāne, Maharashtra, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Cloud Architect for AI/ML Solutions

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

  • Technical Leadership & Architecture:
  • Analyzing Requirements and Designing Solutions:
    • Define technical requirements and design scalable, secure, and high-performance architectures on AWS for AI/ML applications.
    • Collaborate with cross-functional teams to ensure smooth implementation and deployment of AI/ML solutions.
  • Implementing Cloud Infrastructure:
    • Design and implement event-driven, serverless, and microservices architectures for AI/ML applications.
    • Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
  • Maintaining Scalability and Performance:
    • 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.
  • AI/ML & Generative AI Expertise:
  • Architecting AI/ML Solutions:
    • 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.
  • Developing and Deploying AI/ML Models:
    • Drive ML model training, deployment, and monitoring using AWS SageMaker and AI/ML pipelines.
    • Collaborate with data scientists and engineers to develop and deploy AI/ML models.
  • Cloud & Infrastructure Management:
  • Safeguarding Data and Systems:
    • Implement IAM, VPC, security best practices, and compliance.
    • Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
  • Team & Client Engagement:
  • Fostering Collaboration and Innovation:
    • 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.
  • Multi-Client & Business Strategy:
  • Driving Business Growth:
    • 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.

Key Skills & Technologies:

  • Cloud & DevOps:
    • AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, ECS, Fargate, OpenSearch, RDS
    • MLOps: SageMaker Pipelines, CI/CD (CodePipeline, GitHub Actions, Terraform, CDK)
    • Security: IAM, VPC, CloudTrail, GuardDuty, KMS, Cognito
  • AI/ML & GenAI:
    • LLMs & Generative AI: Bedrock (Claude, Mistral, Titan), OpenAI, Llama
    • ML Frameworks: TensorFlow, PyTorch, LangChain, Hugging Face
    • Vector DBs: OpenSearch, Pinecone, FAISS
    • RAG Pipelines, Prompt Engineering, Fine-tuning
  • Software Architecture & Scalability:
    • Serverless & Microservices Architecture
    • API Design & GraphQL
    • Event-Driven Systems (SNS, SQS, EventBridge, Step Functions)
    • Performance Optimization & Auto Scaling

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