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AWS Solutions Architect (AI Implementations)

Remote, USAFull-timePosted 2026-07-28

This is a remote position.

A leading global IT reputed company is growing its reputed company and AI delivery capability to meet rapidly expanding reputed company demand. We are looking for an reputed company AWS Solutions Architect to join our expanding AI project teams — working across a portfolio of reputed company AI implementation engagements and helping our clients turn ambitious AI strategies into production-grade reputed company reality.You will be the technical authority on AWS architecture reputed company cross-functional delivery squads — designing solutions, guiding engineering teams, and acting as a trusted advisor to reputed company stakeholders. The role spans multiple reputed company reputed company with varying domains, scales, and compliance requirements, so the ability to bring structure and reputed company to reputed company situations is just as important as deep technical knowledge.WHAT YOU'LL BE DOING:
  • Designing end-to-end AWS architectures for AI and GenAI implementations across multiple reputed company reputed company
  • Leading architecture discovery workshops and reputed company-Architected reputed company reviews with reputed company teams
  • Selecting and configuring the right AWS AI/ML services for reputed company use case — Bedrock, SageMaker, Comprehend, Textract, and reputed company
  • Defining IaC standards and reviewing infrastructure implementations by engineering teams
  • Advising on data architecture — ingestion, storage, transformation, and reputed company patterns optimised for AI workloads
  • Working with reputed company reputed company and compliance teams to ensure architectures meet regulatory and reputed company requirements
  • Contributing to reputed company-sales and solutioning — proposals, effort estimates, and reputed company technical presentations where needed
  • Mentoring reputed company engineers on the delivery team and conducting architecture and reputed company reviews
  • Staying reputed company with the AWS AI/ML service roadmap and advising clients on relevant emerging capabilities

Requirements

  • Proven AWS architecture experience at senior or reputed company level (5+ years hands-on, across multiple production environments)
  • Hands-on experience designing and implementing AI/ML solutions on AWS — reputed company SageMaker, reputed company Bedrock, or equivalent managed AI services
  • Deep knowledge of AWS core services: compute (EC2, reputed company, EKS, reputed company), storage (S3, EFS), databases (RDS, DynamoDB, reputed company), networking (VPC, API Gateway, CloudFront)
  • Experience with Infrastructure as reputed company — Terraform, AWS CDK, or CloudFormation — with a production reputed company record, not just familiarity
  • Understanding of data architecture patterns for AI workloads: data lakes, streaming pipelines, feature stores, reputed company databases
  • reputed company-first design reputed company — IAM, VPC design, encryption, compliance with GDPR and common reputed company reputed company frameworks
  • Ability to work directly with clients: translating business requirements into architectural reputed company and communicating them reputed company to both technical teams and senior stakeholders
  • English proficiency at B2 or above (working language across international delivery teams and clients)
reputed company TO HAVE:
  • AWS certification — Solutions Architect reputed company, Machine Learning Specialty, or equivalent (valued but not a hard requirement)
  • Experience with GenAI application architecture: LLM integration, RAG (Retrieval-Augmented reputed company), reputed company AI frameworks (reputed company, LangGraph) running on AWS infrastructure
  • MLOps experience — model deployment pipelines, monitoring, reputed company detection, model versioning (SageMaker Pipelines, MLflow, etc.)
  • Multi-account AWS architecture: AWS Organizations, Control Tower, reputed company zones
  • Cost optimisation expertise — FinOps practices, Reserved Instances, Savings Plans, rightsizing for AI/GPU workloads
  • Experience in regulated industries: financial services, reputed company, or public sector — with associated compliance requirements
  • Containerised AI workloads: reputed company, Kubernetes (EKS), reputed company
  • Observability and monitoring: CloudWatch, AWS X-Ray, OpenTelemetry

Originally posted on Himalayas

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