
Artificial Intelligence Solution Designer
2 weeks ago
We are seeking a skilled Technical Architect to lead the design and implementation of scalable, secure, and high-performance architectures for AI applications.
This role involves collaborating with stakeholders to develop end-to-end cloud-based AI solutions, ensuring reliability and performance.
The ideal candidate will have expertise in cloud computing, generative AI, and machine learning, as well as experience in leading cross-functional teams.
Key Responsibilities:- Design and implement scalable architectures on AWS for AI applications.
- Architect multi-tenant AI solutions using AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
- Lead the full lifecycle development of AI solutions from proof-of-concept to production.
- Design Conversational AI, RAG, 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 pipelines.
- Architect event-driven, serverless, and microservices architectures for AI applications.
- Ensure high availability, disaster recovery, and cost optimization in cloud deployments.
- Implement IAM, VPC, security best practices, and compliance.
- CLOUD COMPUTING: Experience with AWS services like SageMaker, Bedrock, Lambda, API Gateway, DynamoDB, ECS, S3, OpenSearch, and Step Functions.
- MACHINE LEARNING: Knowledge of ML frameworks like TensorFlow, PyTorch, LangChain, Hugging Face.
- AI/ML: Expertise in Generative AI, Conversational AI, RAG, and Vector DBs like OpenSearch, Pinecone, FAISS.
- Opportunity to work on cutting-edge AI projects.
- Collaborative team environment.
- Professional growth and development.
Apply today to join our team of experts and contribute to the development of innovative AI solutions.
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