As a Cloud / AI Solution Architect, you will lead the design and delivery of scalable, secure, and cost-effective cloud-native and AI/ML solutions. This is a delivery-focused role, responsible for building PoCs, MVPs, and production-ready architectures that integrate AI capabilities into enterprise platforms. You will work closely with cross-functional teams to ensure solutions meet business objectives, technical standards, and compliance requirements.
Key Responsibilities
- Architect and Deliver AI Solutions
- Translate business requirements into end-to-end AI/ML architectures including data pipelines, model lifecycle, and MLOps.
- Build and productionize PoCs and MVPs for AI use cases (including GenAI, LLMs, embeddings, RAG pipelines).
- Cloud-Native Architecture
- Design secure, scalable architectures on Azure and/or AWS using containers, serverless, API management, and event-driven patterns.
- Implement multi-cloud and hybrid strategies where required.
- Data Platforms & Integration
- Develop data lakes, lakehouses, and warehouses using platforms like Databricks, Azure Synapse, Delta Lake.
- Ensure data governance, lineage, and compliance (GDPR, ISO).
- Automation & DevOps
- Automate infrastructure using Terraform, Bicep, and implement CI/CD pipelines for apps and ML workflows.
- Security & Governance
- Apply best practices for identity, access, encryption, and compliance.
- Maintain architecture documentation and ensure alignment with IT strategy.
- Leadership & Collaboration
- Guide developers, data scientists, and engineers through delivery phases.
- Share best practices and create reusable accelerators for future projects.