We are seeking a highly skilled and experienced AWS Solutions Architect with a strong background in enterprise architecture preferably within the banking or large-scale enterprise domain. The ideal candidate will be responsible for designing and delivering end-to-end cloud solutions on AWS with a particular focus on data platforms and machine learning workloads.
This role goes beyond DevOps or infrastructure implementation; it requires a strategic thinker capable of architecting scalable secure and high-performance cloud solutions aligned with enterprise needs.
Design and implement end-to-end AWS cloud architectures for enterprise applications data platforms and machine learning workloads
Work closely with business and technical stakeholders to translate requirements into scalable cloud solutions
Architect data pipelines ML workflows and analytics solutions on AWS
Define and implement best practices for cloud architecture security scalability and cost optimization
Design and manage CI/CD pipelines using tools like GitHub Actions or similar
Develop and maintain Infrastructure as Code (IaC) using Terraform
Architect and oversee containerized deployments using Kubernetes / Amazon EKS
Establish robust observability monitoring logging and rollback strategies
Provide technical leadership and guidance to engineering teams
Clearly communicate architectural decisions trade-offs and recommendations to stakeholders
Requirements
67 years of experience in cloud architecture and enterprise solution design
Strong hands-on experience with AWS services (EC2 S3 Lambda RDS EKS SageMaker etc.)
Proven experience designing solutions for enterprise-scale workloads
Experience supporting machine learning and data workloads on AWS
Strong expertise in Infrastructure as Code preferably Terraform
Experience in CI/CD pipeline design and implementation (GitHub Actions or equivalent)
Hands-on experience with Kubernetes and Amazon EKS
Strong understanding of cloud-native architectures and microservices
Solid knowledge of monitoring observability and system resiliency
Excellent communication and stakeholder management skills
Benefits
Health Insurance
Gratuity
Visa
Flight to UAE
Accomodation for initial 1 week
Annual Return Ticket
Annual Increment
Required Skills:
Mandatory Skills 5 years of hands-on experience in AI / ML / Generative AI / Agentic AI Prior experience implementing AI solutions in Banking or Financial Services delivering enterprise-scale production-grade systems Strong expertise in Python and SQL Microsoft Azure Cloud experience including: Azure OpenAI Azure AI Search Azure AI Document Intelligence Azure Vision Azure AI Foundry Agentic / LLM frameworks: LangGraph LangChain Advanced Prompt Engineering Computer Vision using OpenCV API development using FastAPI Git Docker Azure Container Services Azure Cosmos DB / Document DB CI/CD pipelines Good to Have Open-source AI technologies (YOLO models Deep Learning NLP) Agent orchestration frameworks: Semantic Kernel Microsoft Agentic Framework LLM evaluation metrics and frameworks (RAG evaluation custom benchmarks etc.) MCP (Model Context Protocol) Orkes (Agentic AI Workflow Automation Tool) Streamlit or Flask for rapid PoC development Microsoft Certification: Azure AI Engineer (AI-102) Preferred Candidate Profile Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design build deploy scale)
We are seeking a highly skilled and experienced AWS Solutions Architect with a strong background in enterprise architecture preferably within the banking or large-scale enterprise domain. The ideal candidate will be responsible for designing and delivering end-to-end cloud solutions on AWS with a pa...
We are seeking a highly skilled and experienced AWS Solutions Architect with a strong background in enterprise architecture preferably within the banking or large-scale enterprise domain. The ideal candidate will be responsible for designing and delivering end-to-end cloud solutions on AWS with a particular focus on data platforms and machine learning workloads.
This role goes beyond DevOps or infrastructure implementation; it requires a strategic thinker capable of architecting scalable secure and high-performance cloud solutions aligned with enterprise needs.
Design and implement end-to-end AWS cloud architectures for enterprise applications data platforms and machine learning workloads
Work closely with business and technical stakeholders to translate requirements into scalable cloud solutions
Architect data pipelines ML workflows and analytics solutions on AWS
Define and implement best practices for cloud architecture security scalability and cost optimization
Design and manage CI/CD pipelines using tools like GitHub Actions or similar
Develop and maintain Infrastructure as Code (IaC) using Terraform
Architect and oversee containerized deployments using Kubernetes / Amazon EKS
Establish robust observability monitoring logging and rollback strategies
Provide technical leadership and guidance to engineering teams
Clearly communicate architectural decisions trade-offs and recommendations to stakeholders
Requirements
67 years of experience in cloud architecture and enterprise solution design
Strong hands-on experience with AWS services (EC2 S3 Lambda RDS EKS SageMaker etc.)
Proven experience designing solutions for enterprise-scale workloads
Experience supporting machine learning and data workloads on AWS
Strong expertise in Infrastructure as Code preferably Terraform
Experience in CI/CD pipeline design and implementation (GitHub Actions or equivalent)
Hands-on experience with Kubernetes and Amazon EKS
Strong understanding of cloud-native architectures and microservices
Solid knowledge of monitoring observability and system resiliency
Excellent communication and stakeholder management skills
Benefits
Health Insurance
Gratuity
Visa
Flight to UAE
Accomodation for initial 1 week
Annual Return Ticket
Annual Increment
Required Skills:
Mandatory Skills 5 years of hands-on experience in AI / ML / Generative AI / Agentic AI Prior experience implementing AI solutions in Banking or Financial Services delivering enterprise-scale production-grade systems Strong expertise in Python and SQL Microsoft Azure Cloud experience including: Azure OpenAI Azure AI Search Azure AI Document Intelligence Azure Vision Azure AI Foundry Agentic / LLM frameworks: LangGraph LangChain Advanced Prompt Engineering Computer Vision using OpenCV API development using FastAPI Git Docker Azure Container Services Azure Cosmos DB / Document DB CI/CD pipelines Good to Have Open-source AI technologies (YOLO models Deep Learning NLP) Agent orchestration frameworks: Semantic Kernel Microsoft Agentic Framework LLM evaluation metrics and frameworks (RAG evaluation custom benchmarks etc.) MCP (Model Context Protocol) Orkes (Agentic AI Workflow Automation Tool) Streamlit or Flask for rapid PoC development Microsoft Certification: Azure AI Engineer (AI-102) Preferred Candidate Profile Strong system design and architecture mindset Experience working on large-scale enterprise AI platforms Comfortable owning end-to-end delivery (design build deploy scale)
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Posted on:
2 hours ago
Vacancies:
1 Vacancy
