Job Summary
We are looking for a highly skilled Cloud Solutions Architect with strong expertise in AWS cloud services, modern data platforms, and AI/ML-driven transformation. This role balances presales solutioning and delivery execution, supporting US clients during 2 PM – 10 PM IST. The ideal candidate will excel at helping enterprises modernize workloads, data ecosystems, and AI adoption on AWS, while maintaining working knowledge of Azure and GCP.Key ResponsibilitiesPresales & Solution EngineeringPartner with US-based enterprise customers to identify modernization opportunities in cloud, data, and AI platforms.Architect cloud-native, data-driven solutions on AWS with scalability, security, and cost efficiency in mind.Create reference architectures, modernization roadmaps, and technical proposals with strong business alignment.Lead RFP/RFI responses, client workshops, and technical deep dives on cloud/data/AI transformations.Build confidence with customers through Proof-of-Concepts (PoCs), particularly around data modernization and AI/ML workloads.Delivery & ExecutionTransition solutions from presales into successful delivery execution.Provide end-to-end technical leadership across architecture design, implementation, data migration, AI/ML pipeline setup, and optimization.Guide clients on best practices in cloud adoption, data engineering, cost optimization, and governance.Collaborate closely with delivery teams to ensure success of large-scale modernization programs.Technical ExpertiseAWS Cloud (Core)Infra: EC2, VPC, S3, EBS, ELB, Auto ScalingPaaS: RDS, DynamoDB, Aurora, Lambda, API Gateway, Fargate, Step FunctionsSecurity & Compliance: IAM, AWS Organizations, WAF, GuardDuty, CloudTrailData & AI/ML (Modernization Focus)Data Platforms: Redshift, EMR, Athena, Glue, Kinesis, Data LakesAI/ML: SageMaker, Comprehend, Rekognition; integration with TensorFlow, PyTorchMLOps & Orchestration: MLflow, Airflow, Kubeflow (preferred)Data Governance & Modernization: Designing data lakes, lakehouses, and migration strategiesMulti-Cloud (Secondary)Azure: Synapse, AKS, Azure MLGCP: BigQuery, GKE, Vertex AIUnderstanding of hybrid and multi-cloud strategiesDevOps & AutomationCI/CD, GitOps, Infrastructure as Code with Terraform & CloudFormationRequired Skills & Qualifications
Bachelor’s/Master’s in Computer Science, IT, or related discipline.10+ years in IT, with 5+ years in cloud/data/AI modernization roles.AWS Certified Solutions Architect – Professional (preferred).Strong ability to bridge presales discussions with hands-on delivery execution.Excellent client-facing communication; skilled at presenting complex architectures to CXOs and technical teams alike.Nice to HaveIndustry knowledge in finance, healthcare, or retail modernization journeys.Hands-on experience with container orchestration (EKS, AKS, GKE).Familiarity with real-time streaming and advanced analytics platforms.Shift & LocationWork Hours: 2:00 PM – 10:00 PM IST (aligned to US business hours)