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Senior Cloud AI Solutions Architect

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Job Title

AI Architecture Specialist

About the Role

We are seeking a highly skilled Technical Architect with expertise in AWS, Generative AI, and scalable production-level architectures. The ideal candidate should have experience handling multiple clients, leading technical teams, and designing end-to-end cloud-based AI solutions.

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

Key Responsibilities
  • 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, 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.
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.
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