AI/ML Solutions Architecturist

1 day ago


Hubli, Karnataka, India beBeeCloud Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Cloud Architect for AI/ML Solutions

We are seeking a highly skilled Cloud Architect to design and implement scalable, secure, and high-performance architectures for AI/ML applications using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.

The ideal candidate should have experience handling multiple clients, leading technical teams, and architecting solutions that ensure best practices in cloud deployment, security, and scalability.

This role involves collaborating with cross-functional teams to develop full lifecycle AI/ML solutions from proof-of-concept to production, ensuring reliability and performance.

  • Technical Leadership & Architecture
  • Design and implement scalable, secure, and 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 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 solutions.
  • Conduct technical workshops, training sessions, and knowledge-sharing initiatives.
  • Multi-Client & Business Strategy
  • Manage multiple client engagements, delivering AI/ML solutions tailored to their business needs.
  • Define AI/ML 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.

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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