AWS Solutions Architect
Actively Reviewing the ApplicationsThe Value Maximizer
India
Full-Time
USD 1–2 LPA
Posted 6 days ago
•
Apply by April 26, 2026
Job Description
AWS Solutions Architect - Banking & Financial Services
Location: New York, NY, USAWorkplace Type: Hybrid
About The Role
We are seeking an experienced AWS Solutions Architect to design, implement, and govern secure, scalable, and compliant cloud solutions for banking and financial services applications. The ideal candidate will have strong expertise in AWS architecture, MLOps, Generative AI, regulatory compliance, and enterprise integration. You will work closely with business, risk, security, and engineering teams to enable cloud adoption and AI/ML innovation while meeting stringent banking regulations and industry standards. This role requires a deep understanding of cloud security best practices, financial industry regulations, and experience in architecting complex solutions that meet stringent compliance requirements. The successful candidate will be a hands-on architect, capable of designing and implementing solutions, as well as providing guidance and mentorship to other team members. You will be responsible for ensuring that our cloud solutions are secure, scalable, and compliant with all relevant regulations.
Key Responsibilities
This is a hybrid role based in New York, NY, requiring a minimum of 3 days per week in the office. The successful candidate will be expected to work closely with cross-functional teams, including engineering, security, risk, and compliance. This role offers a unique opportunity to shape the future of cloud computing in the financial services industry and to make a significant impact on the organization's cloud strategy. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth. The company is committed to creating a diverse and inclusive work environment and is an equal opportunity employer. We encourage applications from all qualified candidates.
Location: New York, NY, USAWorkplace Type: Hybrid
About The Role
We are seeking an experienced AWS Solutions Architect to design, implement, and govern secure, scalable, and compliant cloud solutions for banking and financial services applications. The ideal candidate will have strong expertise in AWS architecture, MLOps, Generative AI, regulatory compliance, and enterprise integration. You will work closely with business, risk, security, and engineering teams to enable cloud adoption and AI/ML innovation while meeting stringent banking regulations and industry standards. This role requires a deep understanding of cloud security best practices, financial industry regulations, and experience in architecting complex solutions that meet stringent compliance requirements. The successful candidate will be a hands-on architect, capable of designing and implementing solutions, as well as providing guidance and mentorship to other team members. You will be responsible for ensuring that our cloud solutions are secure, scalable, and compliant with all relevant regulations.
Key Responsibilities
- Design and architect secure, scalable AWS solutions for core banking, digital banking, payments, risk management, fraud detection, and analytics platforms
- Translate business, regulatory, and security requirements into compliant cloud architectures ensuring adherence to PCI-DSS, SOX, GDPR, SOC 2, Basel III, and local financial regulations
- Architect secure network foundations using Amazon VPC (subnets, Security Groups, NACLs, NAT Gateways, VPC Endpoints, Transit Gateway) and implement least-privilege access using IAM, IAM Identity Center, and IAM Access Analyzer
- Implement encryption and secrets management strategies using AWS KMS, Secrets Manager, and Certificate Manager for data protection at rest and in transit
- Design end-to-end MLOps pipelines using Amazon SageMaker (Pipelines, Model Registry, Projects, Feature Store, Clarify, Model Monitor) for automated model training, deployment, bias detection, and monitoring
- Architect Generative AI solutions using Amazon Bedrock (foundation models from Anthropic, Meta, Cohere, AI21 Labs, Stability AI), Bedrock Guardrails for content filtering and hallucination prevention, Bedrock Knowledge Bases for RAG implementations, and Bedrock Agents for task automation
- Design intelligent search and retrieval systems using Amazon Kendra (GenAI Index) for enterprise search, document discovery, and semantic search integrated with Bedrock Knowledge Bases and Amazon Q Business
- Configure model customization and fine-tuning strategies using Bedrock Custom Model Import, prompt engineering, and Retrieval Augmented Generation (RAG) patterns with proprietary enterprise data
- Implement AIOps and observability using Amazon DevOps Guru, CloudWatch (anomaly detection, Container Insights, Lambda Insights), X-Ray, and distributed tracing capabilities
- Design high availability and disaster recovery solutions across multiple regions using Aurora Global Database, DynamoDB Global Tables, S3 Cross-Region Replication, and Route 53 failover
- Lead application and data migrations from on-premises to AWS using Database Migration Service, Application Migration Service, and Storage Gateway
- Architect containerized workloads using Amazon ECS, EKS, Fargate, and ECR with security scanning and orchestration best practices
- Collaborate with InfoSec, Risk, Compliance, and Audit teams to implement security guardrails, conduct threat modeling, and maintain regulatory compliance
- Enforce AWS Well-Architected Framework principles and guide DevOps teams on CI/CD pipelines using CodePipeline, CodeBuild, CodeDeploy, and Infrastructure as Code (CloudFormation, CDK, Terraform)
- Implement governance and continuous compliance using AWS Config, Audit Manager, conformance packs, and centralized logging with CloudWatch Logs and OpenSearch
- Optimize costs using Cost Explorer, Budgets, Savings Plans, Reserved Instances, Spot Instances, and S3 lifecycle policies
- Design data lakes and analytics platforms using S3, Glue, Athena, EMR, Kinesis, and Redshift for real-time and batch processing
- Implement centralized backup strategies using AWS Backup and automate operational tasks using Systems Manager, EventBridge, and CloudFormation
- Document architecture designs, security controls, threat models, disaster recovery runbooks, and maintain architecture decision records for audit purposes
- Bachelor's degree in Computer Science, Engineering, or a related field
- 10+ years of experience in IT infrastructure, cloud computing, and enterprise architecture
- 5+ years of experience designing and implementing AWS solutions in the financial services industry
- Deep understanding of AWS services, including but not limited to: EC2, S3, VPC, IAM, KMS, Lambda, CloudWatch, CloudTrail, Config, and Security Hub
- Strong knowledge of security best practices, compliance frameworks (PCI-DSS, SOX, GDPR, SOC 2), and regulatory requirements for financial institutions
- Experience with MLOps and Generative AI technologies, including Amazon SageMaker and Bedrock
- Proficiency in infrastructure as code (IaC) tools such as CloudFormation, Terraform, or AWS CDK
- Excellent communication, collaboration, and problem-solving skills
- Ability to work independently and as part of a team in a fast-paced environment
This is a hybrid role based in New York, NY, requiring a minimum of 3 days per week in the office. The successful candidate will be expected to work closely with cross-functional teams, including engineering, security, risk, and compliance. This role offers a unique opportunity to shape the future of cloud computing in the financial services industry and to make a significant impact on the organization's cloud strategy. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth. The company is committed to creating a diverse and inclusive work environment and is an equal opportunity employer. We encourage applications from all qualified candidates.
Required Skills
Machine Learning
Risk Management
AWS
DynamoDB
Terraform
IAM
Cloud Security
MLOps
Auditing
Enterprise Architecture
Amazon Redshift
Amazon S3
Encryption
DevOps
CI/CD
Information Security
Fraud Detection
EC2
Anthropic
RAG
Batch Processing
Disaster recovery
VPC
NAT
Anomaly detection
Adobe Illustrator
Replication
Database migration
Semantic search
Fine-tuning
Compliance frameworks
OpenSearch
CDK
Threat modeling
Enterprise Integration
Amazon Kinesis
Security controls
Amazon Bedrock
Amazon Athena
Amazon CloudWatch
AWS glue
Prompt engineering
Amazon EventBridge
Amazon EKS
Infrastructure as Code
Model Training
Observability
Generative AI
Computer Science
AWS CodeBuild
AWS CodeDeploy
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