Cloud Architect - AIML

Warm greetings from Buzzworks!

We are hiring Cloud Architect (AIML) for one of our Cloud and Data client.

This is a full time work from Office Role.

Role: Cloud Architect - AIML
Exp: 8+ yrsLocation: Bangalore

Role Overview:

Key Responsibilities:

• Design, deploy, and maintain cloud infrastructure for domestic and international clients on AWS and GCP.
• Lead the architecture and technical direction of AI/ML projects and solutions across multi-cloud environments (AWS, GCP)
• Design reference architectures for scalable A-I/M L solutions recommending the right platform services (Bedrock, SageMaker, Vertex AI, BigQuery ML, etc.) based on business and technical requirements
• Guide teams on robust data acquisition, distributed data processing, feature engineering, and data pipelines for ML use cases
• Own cloud infrastructure provisioning, security, and cost optimization for all ML
• workloads
• Architect and enforce end-to-end MLOps workflows, CI/CD, model versioning, governance, and monitoring best practices
• Evaluate and select frameworks, tools, and ecosystem partners for OCR, NLP, Deep Learning, GenAI, LLMs, Machine Comprehension/Processing (MCP), Agentic AI, etc
• Advise, mentor, and guide engineering teams on solutioning ensuring cross-cloud interoperability, reliability, and scalability
• Collaborate with client stakeholders, data scientists, ML/DL engineers, and

business owners for requirement discovery and project delivery.

• Remain domain agnostic: architect and implement solutions across verticals (healthcare, finance, manufacturing, retail, etc.)

Technical Expertise:

• Expert knowledge of AWS and GCP AI/ML platforms:

AWS: Bedrock, SageMaker, EMR, Glue, Lambda, Step Functions, IAM,

GCP: Vertex AI, Dataflow, AutoML, BigQuery ML, IAM, Security Command Center

• Experience designing and deploying architectures for OCR, NLP, GenAI, LLMs,MCP, Agentic AI, and cloud-native ML solutions
• Hands-on background with ML/DL frameworks: TensorFlow, PyTorch, Keras, Kubeflow, MLflow
• Architected high-availability, cost-effective infrastructure using VPC, cloud networking, cloud storage, and GPU clusters
• Knowledge in containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, CloudFormation)
• Proficient in Python and enterprise Linux environments
• Strong skills in ML model lifecycle management, security, compliance, and data privacy in cloud contexts
• Familiarity with open-source LLMs and frameworks like Langchain, vector databases (Pinecone, FAISS), and orchestration tools

Preferred Skills:

• 8+ years designing cloud architectures, on AI/ML solutions
• Experience presenting technical concepts to both engineering and business stakeholders
• Ability to mentor engineers and drive cross-functional collaboration
• Experience working with global customers in the services sector