Posted on: 17/03/2026
Job Description :
The ideal candidate will have deep expertise in AI/ML, Generative AI, and large-scale distributed systems, along with experience in driving enterprise AI transformation programs across geographies.
Key Responsibilities :
AI Strategy & Architecture :
- Define and own the enterprise AI vision, roadmap, and reference architecture
- Design scalable AI platforms supporting ML, Deep Learning, and Generative AI use cases
- Establish AI architecture standards, frameworks, and best practices
- Drive adoption of AI-first solutions across business functions
Generative AI & Advanced AI Solutions :
- Architect solutions leveraging LLMs, RAG, NLP, Computer Vision, and AI copilots
- Design and deploy enterprise-grade GenAI applications (chatbots, document intelligence, knowledge assistants)
- Evaluate and integrate open-source and commercial AI models
- Ensure responsible AI practices, explainability, and model governance
Platform Engineering & MLOps :
- Build and scale AI/ML platforms and pipelines (MLOps)
- Design model lifecycle management including training, validation, deployment, and monitoring
- Implement CI/CD for ML models, feature stores, and data pipelines
- Ensure scalability, performance, and reliability of AI systems
Data Architecture & Engineering :
- Define data strategy, governance, and architecture for AI use cases
- Work with structured and unstructured data (data lakes, warehouses, real-time streaming)
- Enable data quality, lineage, and security frameworks
- Collaborate with data engineering teams for pipeline optimization
Cloud & Infrastructure :
- Architect AI solutions on AWS, Azure, or GCP
- Leverage services such as SageMaker, Azure ML, Vertex AI
- Design GPU-based, distributed computing environments
- Optimize cost, performance, and scalability of AI workloads
Security, Governance & Compliance :
- Ensure adherence to data privacy laws (GDPR, etc.) and AI governance frameworks
- Implement model security, access control, and ethical AI practices
- Define auditability, bias detection, and fairness mechanisms
Stakeholder & Global Leadership :
- Partner with CIOs, CTOs, business leaders, and global stakeholders
- Translate business problems into AI-driven solutions
- Lead cross-functional teams across regions and time zones
- Act as a thought leader and AI evangelist
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