AI Architect
Summary
Designs enterprise-scale cloud and GenAI architectures for financial clients, advising CxOs and leading migration to scalable, secure, and compliant systems.
Architect – Cloud, Data, AI/GenAI & Enterprise Transformation
Purpose of the Role:
As an Architect you will serve as a strategic technology leader responsible for driving enterprise-scale cloud and GenAI transformation initiatives across BFS clients. The role bridges CxO-level advisory and deep engineering execution, ensuring scalable, secure, and compliant architecture aligned to enterprise standards and regulatory frameworks.
Key Responsibilities:
1. Executive Advisory & Architecture Governance
- Act as a trusted advisor to CIO/CTO/Chief Architects on cloud, data, and AI transformation strategy.
- Define enterprise architecture blueprints aligned with TOGAF and regulatory guidelines.
- Lead Architecture Review Boards (ARB) and ensure compliance with enterprise governance frameworks.
- Provide technology roadmaps aligned to multi-year transformation programs.
- Lead end-to-end delivery of cloud modernization, migration, and re-architecture programs.
- Drive adoption of Generative AI solutions including:
- Agentic AI workflows
- RAG-based architectures
- Operationalize GenAI solutions into production at scale across business functions.
4. Cloud-Native & Distributed Systems Architecture
- Design multi-region, highly available, and scalable cloud-native architectures.
- Lead adoption of:
- Serverless & event-driven patterns
- Microservices and container-based platforms
- Ensure Zero Trust Security models and enterprise-grade resilience.
5. Responsible AI, MLOps & Compliance
- Model governance and evaluation
- Bias mitigation and explainability
- PII protection and secure data handling
- Implement MLOps pipelines for continuous model lifecycle management.
Core Competencies:
- Cloud Platforms: AWS (primary), multi-cloud strategy
- AI/GenAI: Bedrock, AgentCore, Lambda, LLMs, RAG, Agentic AI frameworks
- Engineering Excellence: DevOps, CI/CD, Infrastructure as Code
- Security & Compliance: Zero Trust, data privacy, regulatory alignment
Required Experience:
- 10-14 years of experience in enterprise IT, architecture, and digital transformation
- Enterprise AI/GenAI implementations
- Strong exposure to BFSI domain (preferred)
Certifications (Preferred/Expected):
- AWS Certified Solutions Architect (Professional)