Chief Architect

2 days ago

Lucknow, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Key Technical Architect Role

We are seeking a seasoned technical leader to spearhead the design and implementation of scalable, secure, and high-performance architectures for AI/ML applications on AWS.

This role involves architecting enterprise-grade AI/ML solutions using AWS services such as SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.

Key Responsibilities
  • Technical Leadership & Architecture:
    • Design and implement cloud-based AI/ML architectures with expertise in MLOps, DataOps, and DevOps.
    • Architect multi-tenant AI/ML solutions using AWS services, ensuring best practices in security, scalability, and performance.
    • Lead full lifecycle development of AI/ML 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 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 solutions.
    • Conduct technical workshops, training sessions, and knowledge-sharing initiatives.
  • Required 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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