AI Architect

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.

2. Cloud & GenAI Transformation Leadership

• 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
• Enterprise knowledge bases
• 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

• Establish Responsible AI frameworks, including:
• Model governance and evaluation
• Bias mitigation and explainability
• PII protection and secure data handling
• Implement MLOps pipelines for continuous model lifecycle management.

Core Competencies:

• Enterprise Architecture: TOGAF, architecture governance, solution design
• Cloud Platforms: AWS (primary), multi-cloud strategy
• AI/GenAI: Bedrock, AgentCore, Lambda, LLMs, RAG, Agentic AI frameworks
• Data Platforms: Streaming (Kinesis/MSK), Databricks, Lakehouse
• 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
• Proven experience in:
• Enterprise AI/GenAI implementations
• Leading global transformation programs
• Strong exposure to BFSI domain (preferred)

Certifications (Preferred/Expected):

• AWS Certified Solutions Architect (Professional)
• AWS Generative AI / ML Certifications
• TOGAF Certification
• Additional certifications:
• Data Analytics / ML / DevOps
• Cloud Security / Networking