AI Architect – Lilly Medicine Foundry (R5-6)
IN: Lilly Hyderabad, India
INR 3000K-4725K (estimate) Senior-level Full Time
Tasks
- Architect model lifecycle management
- Build AI platform capabilities
- Build incident response and rollback procedures
- Collaborate with enterprise architecture data analytics and infrastructure teams
- Conduct architecture workshops and design reviews
- Create AI governance and architectural review processes
- Create architecture documentation and playbooks
- Define AI architecture strategy
- Define regulatory and security compliant AI architectures
- Design LLM deployment architectures
- Design model drift bias and fairness mitigation
- Design reference architectures for AI ML systems
- Develop reusable AI services APIs
- Establish responsible GenAI patterns
- Establish validation verification frameworks
- Evaluate emerging AI technologies via proof of concepts
- Implement MLOps infrastructure
- Implement audit logging traceability explainability
- Implement vector database and semantic search capabilities
- Lead AI model risk management frameworks
- Lead and mentor AI ML and platform teams
- Set AI technical standards and design principles
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Airflow | Artificial Intelligence | Azure | CI/CD | Cloud Architecture | CloudFormation | Dagster | Data Governance | Data Privacy | Docker | Encryption | Feature Engineering | Feature Store | Fine Tuning | GCP | GDPR | Generative AI | HIPAA | ISO 27001 | Identity Management | Infrastructure as Code | Kafka | Kinesis | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Registry | Prefect | PyTorch | Python | Retrieval-Augmented Generation | SOC 2 | SageMaker | Scikit-learn | Semantic Search | TensorFlow | Terraform | Transformers | Vector Databases | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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