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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, Bangalore metro and senior role amplify competition despite niche AI-platform specialization.
Banking credit risk/lending domain and regulatory reporting create strong domain-specific fit requirements.
Explicit 12+ years requirement, mandatory AWS certification, and specialized AI-platform skills enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of foundational AI platform capabilities for secure, scalable, production-ready AI in Lending domain.
Partner with architects and engineering teams to embed AI in core services ensuring enterprise-grade reliability, governance, and operational excellence.
Drive strategic regulatory reporting initiatives, support production operations, and guide integration of future-state data architecture with mentoring responsibilities for offshore teams.
Minimum Requirements
12+ years of professional experience with expert knowledge in AWS cloud solutions.
Proficiency in key AWS services including Compute (EC2, Lambda), Storage (S3, EBS), Networking (VPC, Route53), Databases (RDS/Aurora, DynamoDB, Neptune), Containers (ECS, Fargate, EKS), and specialized ML/AI services (Amazon Textract, Bedrock, SageMaker, Amazon Q).
Programming skills in Python preferred; experience with scripting languages such as PowerShell, Bash, Go, Java, or .NET also required.
Must hold at least one current Associate Level or higher AWS certification (e.g., Solutions Architect Associate, Developer Associate). Bachelor of Engineering or B.Tech degree required.
Ideal Candidate Profile
Experienced in delivering enterprise-grade cloud AI platforms aligned to Credit Risk and Lending domain requirements.
Skilled at applying AWS Well-Architected Framework, infrastructure as code (Terraform, CloudFormation, AWS CDK), and DevOps/CI-CD best practices for scalable and reliable solutions.
Leadership capability to mentor offshore engineering teams and drive continuous improvement in AI platform quality, performance, and operational standards.