Senior Staff Solution Architect - AI & Cloud
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering fine tuning evaluation guardrails
- Apply security encryption IAM and network controls
- Architect AWS cloud native solutions
- Architect scalable multi tenant AI platforms on AWS
- Build CI/CD pipelines for ML workflows
- Build RAG pipelines with vector databases and embeddings
- Define reference architectures for AI ML systems
- Design SaaS platform multi tenancy API usage metering and cost attribution
- Design data architectures for batch and streaming
- Design end-to-end AI pipelines
- Develop agentic AI systems and orchestration
- Develop machine learning and deep learning models for production
- Ensure compliance with HIPAA GDPR and SOC2
- Ensure data governance data lineage and quality
- Establish MLOps frameworks for continuous deployment
- Implement MLflow for experiment tracking and model registry
- Implement data pipelines and feature stores
- Implement generative AI solutions with AWS Bedrock
- Implement infrastructure-as-code
- Implement model monitoring drift detection retraining and explainability
- Implement responsible AI bias detection auditability and explainability
- Lead architecture reviews and technical decision-making
- Optimize model performance scalability latency
- Provide technical leadership and mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS CDK | AWS SageMaker | Amazon Web Services | CI/CD | CloudFormation | Data Governance | Data Lineage | Deep learning | Drift Detection | DynamoDB | ECS | EKS | Embeddings | Explainability | Fine Tuning | GDPR | Generative AI | Glue | HIPAA | IAM | Infrastructure as Code | Lambda | MLOps | MLflow | Machine Learning | Model Monitoring | Prompt engineering | PyTorch | Python | RAG | Redshift | S3 | SOC2 | Secure Architecture | Step Functions | TensorFlow | Terraform | Vector Databases | Vector Search | Web Services | “as-code”
Education
Roles
Regions
Countries
States
Cities
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